{"type":"session","version":3,"id":"af1630c8-cb47-4dc5-b54b-ee3fabd9eec1","timestamp":"2026-05-04T02:43:53.041Z","cwd":"/home/rurouni"} {"type":"model_change","id":"61c18850","parentId":null,"timestamp":"2026-05-04T02:44:41.225Z","provider":"openai-codex","modelId":"gpt-5.5"} {"type":"thinking_level_change","id":"34903d25","parentId":"61c18850","timestamp":"2026-05-04T02:44:41.225Z","thinkingLevel":"off"} {"type":"custom","customType":"model-snapshot","data":{"timestamp":1777862681233,"provider":"openai-codex","modelApi":"openai-codex-responses","modelId":"gpt-5.5"},"id":"a009f155","parentId":"34903d25","timestamp":"2026-05-04T02:44:41.233Z"} {"type":"message","id":"2fb0bf12","parentId":"a009f155","timestamp":"2026-05-04T02:44:41.240Z","message":{"role":"user","content":[{"type":"text","text":"[Sun 2026-05-03 19:44 PDT] what model are you using"}],"timestamp":1777862681238}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Sender (untrusted metadata):\n```json\n{\n \"label\": \"openclaw-tui\",\n \"id\": \"openclaw-tui\",\n \"name\": \"openclaw-tui\",\n \"username\": \"openclaw-tui\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"47addde7","parentId":"2fb0bf12","timestamp":"2026-05-04T02:44:41.241Z"} {"type":"message","id":"8d3b4619","parentId":"47addde7","timestamp":"2026-05-04T02:44:43.000Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_OUc0aRsxcTZVvCIgO83adg0A|fc_09544aa350ce220c0169f8081aa0508194a9961d6852c4ecf9","name":"session_status","arguments":{"sessionKey":"current"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":456,"output":19,"cacheRead":12800,"cacheWrite":0,"totalTokens":13275,"cost":{"input":0.0022800000000000003,"output":0.00057,"cacheRead":0.0063999999999999994,"cacheWrite":0,"total":0.00925}},"stopReason":"toolUse","timestamp":1777862681241,"responseId":"resp_09544aa350ce220c0169f80819b2648194810d132af0ebe0b6"}} {"type":"message","id":"efbc49ac","parentId":"8d3b4619","timestamp":"2026-05-04T02:44:44.718Z","message":{"role":"toolResult","toolCallId":"call_OUc0aRsxcTZVvCIgO83adg0A|fc_09544aa350ce220c0169f8081aa0508194a9961d6852c4ecf9","toolName":"session_status","content":[{"type":"text","text":"๐Ÿฆž OpenClaw 2026.5.2 (8b2a6e5)\n๐Ÿง  Model: openai-codex/gpt-5.5 ยท ๐Ÿ”‘ oauth (openai-codex:tw24fr@gmail.com (tw24fr@gmail.com))\n๐Ÿ”„ Fallbacks: deepseek/deepseek-v4-pro, openrouter/minimax/minimax-m2.7, local-qwen/qwen3.5-9b\n๐Ÿงฎ Tokens: 13k in / 21 out\n๐Ÿ—„๏ธ Cache: 49% hit ยท 13k cached, 0 new\n๐Ÿ“š Context: 13k/128k (10%) ยท ๐Ÿงน Compactions: 0\n๐Ÿ“Š Usage: 5h 36% left โฑ3h 12m ยท Week 67% left โฑ6d 2h\n๐Ÿงต Session: agent:main:main โ€ข updated just now\nโš™๏ธ Execution: direct ยท Runtime: OpenClaw Pi Default ยท Think: off ยท Text: low ยท elevated\n๐Ÿชข Queue: steer (depth 0)"}],"details":{"ok":true,"sessionKey":"agent:main:main","changedModel":false,"statusText":"๐Ÿฆž OpenClaw 2026.5.2 (8b2a6e5)\n๐Ÿง  Model: openai-codex/gpt-5.5 ยท ๐Ÿ”‘ oauth (openai-codex:tw24fr@gmail.com (tw24fr@gmail.com))\n๐Ÿ”„ Fallbacks: deepseek/deepseek-v4-pro, openrouter/minimax/minimax-m2.7, local-qwen/qwen3.5-9b\n๐Ÿงฎ Tokens: 13k in / 21 out\n๐Ÿ—„๏ธ Cache: 49% hit ยท 13k cached, 0 new\n๐Ÿ“š Context: 13k/128k (10%) ยท ๐Ÿงน Compactions: 0\n๐Ÿ“Š Usage: 5h 36% left โฑ3h 12m ยท Week 67% left โฑ6d 2h\n๐Ÿงต Session: agent:main:main โ€ข updated just now\nโš™๏ธ Execution: direct ยท Runtime: OpenClaw Pi Default ยท Think: off ยท Text: low ยท elevated\n๐Ÿชข Queue: steer (depth 0)"},"isError":false,"timestamp":1777862684717}} {"type":"message","id":"6646e5a3","parentId":"efbc49ac","timestamp":"2026-05-04T02:45:43.725Z","message":{"role":"user","content":[{"type":"text","text":"[Sun 2026-05-03 19:45 PDT] i need you to finish what you were working on i had you rebuikd are our memery system but we didint finish we has a probolmen that i sorta fixed but i need you to doble check on everything should i share the prompt that started everything"}],"timestamp":1777862743723}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Sender (untrusted metadata):\n```json\n{\n \"label\": \"openclaw-tui\",\n \"id\": \"openclaw-tui\",\n \"name\": \"openclaw-tui\",\n \"username\": \"openclaw-tui\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"c5a63a66","parentId":"6646e5a3","timestamp":"2026-05-04T02:45:43.727Z"} {"type":"message","id":"eb091b40","parentId":"c5a63a66","timestamp":"2026-05-04T02:45:46.043Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f80858b2d48195be3734b1d80b11a0\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-AhZBnq0saIVyVVnlru9TO2y019ppUzCOUl-iUsLpVK0x0Ik71x4U3EfEyjuTyyM7aSb1Ji0mkmYpEc029ejsF-2R_Tqd7hNxW4ZLlwN2THnB3RztAarH05EN-y5YFttTcdee0SZJnGCeAlQQNArVTci45hlBVTe487tQV3OcDa3c4OO3rbAOIBNkazvdeB_I0V7DvzA-ocBdxpXxttKpH2sfNOVga_RtpPORgzLyAMd-6bhEjr9fHN6zgylDNmm7znxfhUaVTokTXBW5aQXFkN3WZXhLghDGq7PLSxJEHUzBZxT3i58m7P14EddVt4pjPsV6vui1lqjWPZBMeDouWn1TO9vKNbALGL5CiHINd2QQvIJRXwQQgKSAlcpJ0CsAEtCUU5AJlZx8-soLcZMgksH-lyUVOVP93IHew_AaeJYoA0xa7rikdrNOe2ETBWgBGUwaP1k7GE4lDRR9UvjE4mtj1Ax28_Du4ePnNkfOv2p4v4qikdA1uDfgjnsZPYUAAh1gL8i5pGh9XTNupaPiX_cTMmV-NEDtBrNLo5unPbgHcK0md7O9aO6otbzkajykk7M2lHv_INwAU-hcgmKrH-ZAAJwu6mYM3h_x2x6NY_Ie715-zh7XRLzb5lGUep62ccb7pG6HtT8oMjdy93RN-wX6OMMrAQS9PC4yi58AjqxDDHW0OrAE4kAN709zIe1eHvUstTz-zNqBt9PfQQBCb8SJHUXGJJF2L96LW47o-eDDZt1sWdTSntVMtEria_aPkm2HoaNxoqr778U5-6x-KTZQBcf9CWA9y-w7qnOWgdxPFtvLc5wvJgEYcam0kgPomCakRSe-p_x4ITx-uNoa_aqa83L7FEmb33326evxu7xVRkKkLZduCL4rpxFS44gS4wZIFjvNqlqq220n4AdoG2xDOqi5LeUeSgCE7HhujyJQYzLvVKE8ORCkcLQSnOFpFAKF-xpsCDjoes8NSBxjDAeVQEmEGuMS61TMIbvc7FaeEtmlwk7OiRrzCADsLox7EAI-8DGlCbki9SDS1cIp-5o2WxpjSwnNF-2W78Hf3wAtFxsPb_dyRTOOp1eRv9O8KlwYvVcmC3TO2guha4f3w897-euIC09FWiZr82oxp3Z0Ocr4Mz7Gb3r2K1VBsz6P6wwssU6UQNMWEUoFNzJVw6QFg==\",\"summary\":[]}"},{"type":"toolCall","id":"call_p5DZxuN5Ah0zxNr8PxXuX8hO|fc_044715aa23543a330169f8085975388195a2214f49f603ec01","name":"memory_search","arguments":{"query":"memory system rebuild retrieval Qwen3 embedding reranker QMD problem fixed finish double check","maxResults":5,"corpus":"all"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":10016,"output":89,"cacheRead":3584,"cacheWrite":0,"totalTokens":13689,"cost":{"input":0.050080000000000006,"output":0.00267,"cacheRead":0.001792,"cacheWrite":0,"total":0.05454200000000001}},"stopReason":"toolUse","timestamp":1777862743727,"responseId":"resp_044715aa23543a330169f8085800b48195b8d8fbc874e8ba84"}} {"type":"message","id":"e8143190","parentId":"eb091b40","timestamp":"2026-05-04T02:45:57.718Z","message":{"role":"toolResult","toolCallId":"call_p5DZxuN5Ah0zxNr8PxXuX8hO|fc_044715aa23543a330169f8085975388195a2214f49f603ec01","toolName":"memory_search","content":[{"type":"text","text":"{\n \"results\": [\n {\n \"id\": \"7fd15436533cbba337df015874ab1b954949c5462722d88263ece85c94c1db29\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 28,\n \"endLine\": 39,\n \"score\": 1,\n \"textScore\": 0.45142294006559525,\n \"snippet\": \"- Hardware observed 2026-05-03: GTX 1080 Ti 11GB, Xeon E5-2697A v4 (32 threads), 62GiB RAM. With Qwen3.5-9B 65k context loaded: ~9.0GB VRAM used / ~2.1GB free. Tight but workable; avoid extra GPU loads.\\n- Old Qwen3.5-4B was removed from config and moved to `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`; do not re-add unless Raymond asks.\\n\\n## Memory / Retrieval Direction\\n\\n- Builtin memory search currently works via FTS/text; embeddings unavailable until an embedding provider/backend is configured. Codex OAuth does **not** satisfy OpenAI embedding API requests.\\n- `openclaw memory status --deep` on 2026-05-03: provider `none`, FTS ready, no direct OpenAI/Gemini/Voyage/Mistral/DeepInfra/Bedrock\\n\\nSource: MEMORY.md#L28-L39\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L28-L39\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"d4f45f6f2d9b01457138bb6d6a34874506c44344dcd88679c8312f43ee6b56a9\",\n \"path\": \"MEMORY.md\",\n \"startLine\": 37,\n \"endLine\": 46,\n \"score\": 1,\n \"textScore\": 0.5119211975153218,\n \"snippet\": \"- OpenClaw builtin memory has embeddings but no reranking; QMD is the OpenClaw path to local BM25 + vectors + reranking/query expansion. Verify CPU-only behavior before enabling QMD or downloading models.\\n- Memory hygiene: keep active indexed markdown small. Active files should usually be `MEMORY.md`, `memory/YYYY-MM-DD.md`; archive raw/session fragments as `.txt`.\\n\\n## System / Storage / Admin\\n\\n- Storage: root/home on NVMe; `/backup` HDD; `/archive` HDD cold storage; `/models` Samsung SSD; `/data` RAID0 Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\\n- `/home/rurouni/backups` symlinks to `/backup/rurouni/openclaw-backups`.\\n- AI storage env: HF/cache under `/data/cache/hf`; temp under `/data/tmp`; p\\n\\nSource: MEMORY.md#L37-L46\",\n \"source\": \"memory\",\n \"citation\": \"MEMORY.md#L37-L46\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"e4103188cd79cb5a131f28c49a5262f9f6c44a856798826a9ffca5db4b68d796\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 53,\n \"endLine\": 66,\n \"score\": 1,\n \"textScore\": 0.4509674288580624,\n \"snippet\": \"- Current hardware check: GTX 1080 Ti 11GB with Qwen3.5-9B loaded used ~9.0GB VRAM with ~2.1GB free; CPU is Xeon E5-2697A v4 (32 threads), RAM 62GiB with plenty available.\\n- Raymond proposed CPU-only retrieval: Qwen3-Embedding-0.6B, top_k 30, Qwen3-Reranker-0.6B CPU-only reranking to top 5โ€“8, final context only reranked docs, chunk size 512โ€“1024 tokens with 10โ€“20% overlap, prioritize stability/accuracy/quality over speed.\\n- OpenClaw docs indicate builtin memory does not do reranking; QMD is the likely OpenClaw path for local BM25 + vectors + reranking/query expansion. Need verify CPU-only behavior before enabling QMD or downloading models.\\n\\n## Standing cautions\\n\\n- Do not change LAN-bound Ope\\n\\nSource: memory/2026-05-03.md#L53-L66\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L53-L66\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"70d3e1c1d79183247f8fed6d10fd98e5ca1c64064a52b7f6f895fc72c2b3fb83\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 15,\n \"endLine\": 29,\n \"score\": 1,\n \"textScore\": 0.45279501167877295,\n \"snippet\": \"- `llama-local` serves the 9B model at `127.0.0.1:8081` with `--parallel 1`, `-c 65536`, and full 65k context per request. Initial `--parallel 2` split context and was changed per Raymondโ€™s preference.\\n- Stale 4B config refs were removed; old 4B model moved to `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`.\\n\\n## Memory / embedding work\\n\\n- Cleaned memory bloat: consolidated durable facts into `MEMORY.md`, moved low-value fragments to `memory/archive/**/*.txt`, and kept active indexed markdown small.\\n- Backups created during cleanup: `/home/rurouni/backups/memory-cleanup-20260503-164258` and `/home/rurouni/backups/memory-final-clean-{ts}`.\\n- `openclaw memory status --deep` showed builtin FTS r\\n\\nSource: memory/2026-05-03.md#L15-L29\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L15-L29\",\n \"corpus\": \"memory\"\n },\n {\n \"id\": \"ea83b2f75e52839465d510c2ee77cf92360b5495640904ca8fd632ff0f9cfdd4\",\n \"path\": \"memory/2026-05-03.md\",\n \"startLine\": 42,\n \"endLine\": 54,\n \"score\": 1,\n \"textScore\": 0.4438022842815974,\n \"snippet\": \"- Config routing verified: fallbacks are `deepseek/deepseek-v4-pro`, `openrouter/minimax/minimax-m2.7`, then `local-qwen/qwen3.5-9b`.\\n- Raymond said to leave DeepSeek Pro fallback as-is for now because it is half off until May 31.\\n- Replaced local Qwen3.5-4B with Qwen3.5-9B Q5_K_M GGUF at `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`.\\n- `llama-local` serves the 9B model at `127.0.0.1:8081` with `--parallel 1`, `-c 65536`, and full 65k context per request. Initial `--parallel 2` split context and was changed per Raymondโ€™s preference.\\n- Stale 4B config refs were removed; old 4B model moved to `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`.\\n\\n## Memory / embedding work\\n\\n- Cleaned mem\\n\\nSource: memory/2026-05-03.md#L42-L54\",\n \"source\": \"memory\",\n \"citation\": \"memory/2026-05-03.md#L42-L54\",\n \"corpus\": \"memory\"\n }\n ],\n \"provider\": \"none\",\n \"citations\": \"auto\",\n \"debug\": {\n \"backend\": \"builtin\",\n \"effectiveMode\": \"n/a\",\n \"searchMs\": 11324,\n \"hits\": 5\n }\n}"}],"details":{"results":[{"id":"7fd15436533cbba337df015874ab1b954949c5462722d88263ece85c94c1db29","path":"MEMORY.md","startLine":28,"endLine":39,"score":1,"textScore":0.45142294006559525,"snippet":"- Hardware observed 2026-05-03: GTX 1080 Ti 11GB, Xeon E5-2697A v4 (32 threads), 62GiB RAM. With Qwen3.5-9B 65k context loaded: ~9.0GB VRAM used / ~2.1GB free. Tight but workable; avoid extra GPU loads.\n- Old Qwen3.5-4B was removed from config and moved to `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`; do not re-add unless Raymond asks.\n\n## Memory / Retrieval Direction\n\n- Builtin memory search currently works via FTS/text; embeddings unavailable until an embedding provider/backend is configured. Codex OAuth does **not** satisfy OpenAI embedding API requests.\n- `openclaw memory status --deep` on 2026-05-03: provider `none`, FTS ready, no direct OpenAI/Gemini/Voyage/Mistral/DeepInfra/Bedrock\n\nSource: MEMORY.md#L28-L39","source":"memory","citation":"MEMORY.md#L28-L39","corpus":"memory"},{"id":"d4f45f6f2d9b01457138bb6d6a34874506c44344dcd88679c8312f43ee6b56a9","path":"MEMORY.md","startLine":37,"endLine":46,"score":1,"textScore":0.5119211975153218,"snippet":"- OpenClaw builtin memory has embeddings but no reranking; QMD is the OpenClaw path to local BM25 + vectors + reranking/query expansion. Verify CPU-only behavior before enabling QMD or downloading models.\n- Memory hygiene: keep active indexed markdown small. Active files should usually be `MEMORY.md`, `memory/YYYY-MM-DD.md`; archive raw/session fragments as `.txt`.\n\n## System / Storage / Admin\n\n- Storage: root/home on NVMe; `/backup` HDD; `/archive` HDD cold storage; `/models` Samsung SSD; `/data` RAID0 Intel SSDs; `/dev/shm/ai-hot` 16G tmpfs.\n- `/home/rurouni/backups` symlinks to `/backup/rurouni/openclaw-backups`.\n- AI storage env: HF/cache under `/data/cache/hf`; temp under `/data/tmp`; p\n\nSource: MEMORY.md#L37-L46","source":"memory","citation":"MEMORY.md#L37-L46","corpus":"memory"},{"id":"e4103188cd79cb5a131f28c49a5262f9f6c44a856798826a9ffca5db4b68d796","path":"memory/2026-05-03.md","startLine":53,"endLine":66,"score":1,"textScore":0.4509674288580624,"snippet":"- Current hardware check: GTX 1080 Ti 11GB with Qwen3.5-9B loaded used ~9.0GB VRAM with ~2.1GB free; CPU is Xeon E5-2697A v4 (32 threads), RAM 62GiB with plenty available.\n- Raymond proposed CPU-only retrieval: Qwen3-Embedding-0.6B, top_k 30, Qwen3-Reranker-0.6B CPU-only reranking to top 5โ€“8, final context only reranked docs, chunk size 512โ€“1024 tokens with 10โ€“20% overlap, prioritize stability/accuracy/quality over speed.\n- OpenClaw docs indicate builtin memory does not do reranking; QMD is the likely OpenClaw path for local BM25 + vectors + reranking/query expansion. Need verify CPU-only behavior before enabling QMD or downloading models.\n\n## Standing cautions\n\n- Do not change LAN-bound Ope\n\nSource: memory/2026-05-03.md#L53-L66","source":"memory","citation":"memory/2026-05-03.md#L53-L66","corpus":"memory"},{"id":"70d3e1c1d79183247f8fed6d10fd98e5ca1c64064a52b7f6f895fc72c2b3fb83","path":"memory/2026-05-03.md","startLine":15,"endLine":29,"score":1,"textScore":0.45279501167877295,"snippet":"- `llama-local` serves the 9B model at `127.0.0.1:8081` with `--parallel 1`, `-c 65536`, and full 65k context per request. Initial `--parallel 2` split context and was changed per Raymondโ€™s preference.\n- Stale 4B config refs were removed; old 4B model moved to `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`.\n\n## Memory / embedding work\n\n- Cleaned memory bloat: consolidated durable facts into `MEMORY.md`, moved low-value fragments to `memory/archive/**/*.txt`, and kept active indexed markdown small.\n- Backups created during cleanup: `/home/rurouni/backups/memory-cleanup-20260503-164258` and `/home/rurouni/backups/memory-final-clean-{ts}`.\n- `openclaw memory status --deep` showed builtin FTS r\n\nSource: memory/2026-05-03.md#L15-L29","source":"memory","citation":"memory/2026-05-03.md#L15-L29","corpus":"memory"},{"id":"ea83b2f75e52839465d510c2ee77cf92360b5495640904ca8fd632ff0f9cfdd4","path":"memory/2026-05-03.md","startLine":42,"endLine":54,"score":1,"textScore":0.4438022842815974,"snippet":"- Config routing verified: fallbacks are `deepseek/deepseek-v4-pro`, `openrouter/minimax/minimax-m2.7`, then `local-qwen/qwen3.5-9b`.\n- Raymond said to leave DeepSeek Pro fallback as-is for now because it is half off until May 31.\n- Replaced local Qwen3.5-4B with Qwen3.5-9B Q5_K_M GGUF at `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`.\n- `llama-local` serves the 9B model at `127.0.0.1:8081` with `--parallel 1`, `-c 65536`, and full 65k context per request. Initial `--parallel 2` split context and was changed per Raymondโ€™s preference.\n- Stale 4B config refs were removed; old 4B model moved to `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`.\n\n## Memory / embedding work\n\n- Cleaned mem\n\nSource: memory/2026-05-03.md#L42-L54","source":"memory","citation":"memory/2026-05-03.md#L42-L54","corpus":"memory"}],"provider":"none","citations":"auto","debug":{"backend":"builtin","effectiveMode":"n/a","searchMs":11324,"hits":5}},"isError":false,"timestamp":1777862757717}} {"type":"message","id":"ea1bdd66","parentId":"e8143190","timestamp":"2026-05-04T02:46:01.909Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f80866a4b48195b64d44037c4527b7\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-Aho7GPKcpPsXrjtiuEUOil9XmV4GqeEzMIX4EBOnQNEuyEnu_kNdAYh2p9ekMuUbP9epWcKlKs-S4ppLkgUWCTNdA9n2IlmrjvA29J1YfzmS9Eh5UWVtwFMeetvSAxAoW7Kj1Zl7VdZyz3WrmY8wc4kA9RSueQ4ab0TAN2gDX-FwJKOH2YUoBg9JZ1NphBaBlcYu1kcgXmSwuwQhujh0dmBhv9PWnSV2-P_E1zYam9nM7i3LbIsS-iVYMShRMGbJbho_I2dX_ZVAi--5UDml08Txr3o7MNX39Z5_3YxQSQjPGtqVbknJdjBnZHkei8Gel0nId8QVTWZRvnm2oAih7NjIEkX6PfNgWBN1YDiqriKOUH42NLz0RvkPAa1fwp4zo-NW91ssQiB6CuOPDJY1UZGWOyYq7LIGzRBOLIsABM2volyqaXpEadn60TWj2wvIP5aIJImPOksuN3btaT7g0ce3MZpaKhzvo2a-C7lCW6pyUngD35Otx7XuMNzbn9afNXEsRrgjXc3DtBUV5ceKBjA-SajQA7yue-3t1El_JHEYFtgCPYMLdt0xZIra_RCc1R4kv4tl7xSqDAb6C3PA-9zxeSBV0fM-OD4kZyTFY1YI3kJDItOYOEdtH1c4dS-P0c9DZLL-yd5qlMc8bnccV3KWJ_TXq_2n6MhFKS26yP9kiqVoGcKxvhpal8uUCSSpK4N3QiqdbDblnXiKnABci_tzILo_sfQpsow52fejKifJPmNHSdPYUlX-ghv-eBpsRjphcN-zBCRD0Ece1BX5cGCKuSM0xvJjvlG2a614SxN8XcSuKf6iGooRQZWy6-9MI4NUleWjjO5tOhowd5sB_8OvJKlhBNXLcrYiNqzNZ4SMBSK5NRBd0JvbBC5uFm9zCrU1wO73mavtUIGVJ0w-92QNUpKM3prnAp1QWMXhrglBwSaaZbVnkMqLmCvJMJwRFrEgsI-eYwvX0pyzewUAH7p2Ohd-ymG_UPx83dZyAUCRKvB8eAPoGkiB6iGjqBHOUXJRabTHcWleOSpa_C_11pBpyytEta0FDNLMLLz9pvMBuxiBNdDPZi708K2iwdMTbkprjzr-Ci6HQiyyj37eL7FBhe36Fq__I73tq-vkBHnkLBGZc9n1ZVVwKHLpsBWXx7PTm4jKhhrmbfDJPnsACJJRgGoR7f4cr8cl1ZfDzo5tflOXPmgm14ATDPqHSUvX4ERNH7deUGG-XgP5z5DmPduH_cBTuSIBeQyZGqdM3GjrzqSEGT7uSSqqQaohdjaNfLZdyxRhE7t_wighR1m344X8rVg8nzYrf2Mk4XL1BdSAYhR1t3wwoc6pFXJ-4JkUjxGtfB75mIaB6w7voBpikkmWX6rRKm0udi96yBQlVAwf3bTnLRdz3o5tdaR3QxZiT1DODzgUyFp5cwgdeQODOLcVha8h-0Rajwu_5n1NUL_an1YMWz2iuEGtiQF16BCs7cMD6sY2ULbFOyk_av_PQ-Ef0fYIJmkpNu-XpKtySrQYeE=\",\"summary\":[]}"},{"type":"text","text":"Bet โ€” yes, share the original prompt if you have it. Itโ€™ll help me line up the intent. In the meantime Iโ€™m going to inspect the current memory/retrieval state instead of waiting, because I can already see the prior direction in memory.","textSignature":"{\"v\":1,\"id\":\"msg_044715aa23543a330169f808685e88819595f116a4bf8f25d5\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_uv94OozFR5RzyBd0Wyw7h0PB|fc_044715aa23543a330169f8086947d08195b0c4a6eb02a4366e","name":"read","arguments":{"path":"/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/skills/lossless-claw/SKILL.md","limit":200}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":2284,"output":207,"cacheRead":13312,"cacheWrite":0,"totalTokens":15803,"cost":{"input":0.011420000000000001,"output":0.00621,"cacheRead":0.006656,"cacheWrite":0,"total":0.024286}},"stopReason":"toolUse","timestamp":1777862757721,"responseId":"resp_044715aa23543a330169f8086609988195bfc36b2c16bc35c4"}} {"type":"message","id":"5fa8ea45","parentId":"ea1bdd66","timestamp":"2026-05-04T02:46:02.152Z","message":{"role":"toolResult","toolCallId":"call_uv94OozFR5RzyBd0Wyw7h0PB|fc_044715aa23543a330169f8086947d08195b0c4a6eb02a4366e","toolName":"read","content":[{"type":"text","text":"---\nname: lossless-claw\ndescription: Configure, diagnose, and use lossless-claw effectively in OpenClaw, with emphasis on key settings, summary health, and recall-tool usage.\n---\n\n# Lossless Claw\n\nUse this skill when the task is about operating, tuning, or debugging the `lossless-claw` OpenClaw plugin.\n\nStart here:\n\n1. Confirm whether the user needs configuration help, diagnostics, recall-tool guidance, or session-lifecycle guidance.\n2. If they need a quick health check, tell them to run `/lossless` (`/lcm` is the shorter alias).\n3. If they suspect summary corruption or truncation, use `/lossless doctor`.\n4. If they want high-confidence junk/session cleanup guidance, use `/lossless doctor clean` before recommending any deletes.\n5. If they ask how `/new`, `/reset`, or `/lossless rotate` interacts with LCM, read the session-lifecycle reference before answering.\n6. Load the relevant reference file instead of improvising details from memory.\n\nReference map:\n\n- Configuration (complete config surface on current main): `references/config.md`\n- Internal model and data flow: `references/architecture.md`\n- Diagnostics and summary-health workflow: `references/diagnostics.md`\n- Recall tools and when to use them: `references/recall-tools.md`\n- `/new`, `/reset`, and `/lossless rotate` behavior with current lossless-claw session mapping: `references/session-lifecycle.md`\n\nWorking rules:\n\n- Prioritize explaining why a setting matters, not just what it does.\n- Prefer the native plugin command surface for MVP workflows (`/lossless`, with `/lcm` as alias).\n- Do not assume the Go TUI is installed.\n- Do not recommend advanced rewrite/backfill/transplant/dissolve flows unless the user explicitly asks for non-MVP internals.\n- For exact evidence retrieval from compacted history, guide the user toward recall tools instead of guessing from summaries.\n- When users compare `/lossless` to `/status`, explain that they report different layers: `/lossless` shows LCM-side frontier/summary metrics, while `/status` shows the last assembled runtime prompt snapshot.\n"}],"isError":false,"timestamp":1777862762152}} {"type":"message","id":"749b627c","parentId":"5fa8ea45","timestamp":"2026-05-04T02:46:07.087Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f8086b7b60819597291ea02c8f0ece\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-AhsdEM2OVG4QcZj1mS0awDNTgMnYqQgckzONQz8K76l9-RqaVdVYXk7RJATp46BKQeDypMbrHNySuHY5zgLdKYYsgZVUBiYHj-qOjXImnAXSCPEusxqTB_4KlX7QOzcEytYjsJm3WTdaDOWiu-5mlHpnm2jY90O4upbZuaqe7PZHpe5WfpZ0-BW774Ohoou7s68J_eEzzsd3AvV-8f_SnlFtXwtF7Gk1uHCdiUAKD6Kqe1UHwAAehtYZ5DSwwpwOKluBS3r8jafgwLzOO5bwFtt-JzcWkF5uem0j3TKJDAjrx_3fR9xsMBto_SdJz_3a8NhCdJMMCcbuPuFG0m7d42xmIrbJLX5lCQVacG5aWBYLms_ZEp2SVuQW1NUSacgTF8eD5Y-ElKufdJ9R6viV9aQCERDvFBdCK9JjNjN7nKDHlz2xykuku60_UP1vzyz-i2B2LGMoPTVPp0NhkrcCVxNY3xMDiujIliEbw5QaG8FpuJNMZAUmIztsLTj3b95k6XOHpiXcazgAlrV98kCsKNne3uYdKUTJeB9QF02EsHlzYdonahjxirt4g7rrvC3wSTfX_LgTaVbQtgW5G80vJ6LDMEa9KLdDKXEQRceUydRpvTxLdn5-k7_CibFF7b_HOHz8kYl6V3cLs46RX1G_JNcAT1PyuSK11XJfUQbL4hBhrELlF2sED9pwV2lk2pP7Lv_n6bGqYyLzR5sdXDjiUUoFeILXdyh-BIDPB00bCW23Lkxa5-6CPhssCF-mMnBJ1rBTpogDGZmZ4UUhKyxSsWZazwqQqYjlOZc-PtL_uJ1AYlqlos86mrSuhkOm28QQQHky7IG6cFjRseVhpEawlSgxp3gg4mVgpA42NF9mvavuTXYFHaNLoWtoIU9m66C0wWOVk3VihOBojS8hqbl9-Kj6sFf_zr4-ZwQWvVBqS3KedtXSoNkYqpCan64MV49WoyZuDJTciLq2O7Y78FU_TrRxcSd7wUetgZ3B_LfYaiNnmP6h3FCDsMy_YgLKpW27l_EfpYtE_28FRKaQkV3N9w4U1e_p-baTW7ukMf9yIQP4HF1YJRJLL2uDnaFchTbsHXZ3i7GFA62ojefITU__PDEdCr3Rwi03X5IOYIlrTobzFw=\",\"summary\":[]}"},{"type":"toolCall","id":"call_Eo5NctAXx7ljiWlZ4w9QkGDd|fc_044715aa23543a330169f8086c96b88195bfb515714b474fc3","name":"exec","arguments":{"command":"set -o pipefail\nprintf '== openclaw status ==\\n'\nopenclaw status || true\nprintf '\\n== memory status deep ==\\n'\nopenclaw memory status --deep || true\nprintf '\\n== processes matching memory/qmd/embed/rerank ==\\n'\nps -eo pid,comm,args | grep -Ei 'qmd|embed|rerank|memory|llama' | grep -v grep || true\nprintf '\\n== relevant config grep ==\\n'\nfind ~/.openclaw /home/rurouni -maxdepth 3 -type f \\( -name '*.json' -o -name '*.yaml' -o -name '*.yml' -o -name '*.toml' -o -name '*.md' \\) 2>/dev/null | grep -Ei 'config|settings|memory|qmd|lossless' | head -200","workdir":"/home/rurouni","yieldMs":1000,"timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":903,"output":273,"cacheRead":15360,"cacheWrite":0,"totalTokens":16536,"cost":{"input":0.004515000000000001,"output":0.00819,"cacheRead":0.007679999999999999,"cacheWrite":0,"total":0.020385}},"stopReason":"toolUse","timestamp":1777862762154,"responseId":"resp_044715aa23543a330169f8086a6a9c8195bc4d0d577aa30e8d"}} {"type":"message","id":"0640e89f","parentId":"749b627c","timestamp":"2026-05-04T02:46:08.406Z","message":{"role":"toolResult","toolCallId":"call_Eo5NctAXx7ljiWlZ4w9QkGDd|fc_044715aa23543a330169f8086c96b88195bfb515714b474fc3","toolName":"exec","content":[{"type":"text","text":"Command still running (session fresh-summit, pid 71289). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"fresh-summit","pid":71289,"startedAt":1777862767267,"cwd":"/home/rurouni","tail":"== openclaw status ==\n"},"isError":false,"timestamp":1777862768406}} {"type":"message","id":"f965b4d7","parentId":"0640e89f","timestamp":"2026-05-04T02:46:10.051Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f80871754881958a1500221aa7d34d\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-Ahxqv4h0fkrq7hSDlcP1HmwsWBJGGylFlxh8uqhMbii90jD8stApU-SQp75OoNwCxguDtdQcSzcHSEL6wKcnb3OadGQloRT6n9Q5f8P7eSnSCW0zO_p42d3ddmkzDhzrTQpRMYhTr7rQCSAxBDcYchASy0Gxi4EKLxz8bynSSpHUHijijac2_cjsAvMs3eiG8NvedjX-9f1Ulazk-6K4UtKbeUXgotN8elWrTV80NFr8nCiKcG3MITXCvqmMbtKIYRzC0PNmrrS09gHBBPLbNnIghS7S7NJneo0l0J7F8k9ZA7SHAYzIoE4rdc9hueI6xdJeFqsG0h9hfnRO7woQoa256vwTCkRM4eRA97gUei48PFOhOBmoF1mKamnjF4QQLJ_eHCqhSc3cLUgbtVnwV7X--39TSlT658XasLlDStUAR_UIayRKPSm0GzWGfbfqUO5lTXwSf1pQPlB0cX_3pkhWVC_IYjQc1EJd75XA-UaEvOFL3Wl_k8VI7DvVyqdMyo8c86MssJx1UvnHkQx8yeqdT9J-m7PC540d0iWQ6-trMFHS-Ggr_TgjujN3iX9Iz_wMkIq0_OCRC3a9MqQcf-k4L4Lbux0xVsUwLtbRgPLDz2ngb4iCafrJ77kJCfHXxy_y5KO27TO6byIaYG164hhACe87SCxCYbSBuBmIW0Bo94KkxfjHheBCAQPrWHlTyE30qxKOjB-nJydVrXVMAwh8c32XeEh76nwub25m0OT3-qjzfPqmoq0SbTK2Jl3clfYsc-IE4E3SVAA7iwujVRk59fPQ0iFbdNTI4QJX1zgMRtt0Niwu9mkSDs47Igm5XRG1YY-GrvRMmJS_3uPVxFGydwtrNANSXmxk15UzUofSU5iJPUCB0chfuszPrwC5EILkg65hdLyycPRJteSY4PwKOnm0-eQhZ2lcNhbumpHiy0=\",\"summary\":[]}"},{"type":"toolCall","id":"call_68SyjX59eRYNQ0KoerPX2IZA|fc_044715aa23543a330169f80871a6188195992c5e033b8353f9","name":"process","arguments":{"action":"poll","sessionId":"fresh-summit","timeout":30000,"limit":6000}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":707,"output":44,"cacheRead":15872,"cacheWrite":0,"totalTokens":16623,"cost":{"input":0.0035350000000000004,"output":0.00132,"cacheRead":0.007936,"cacheWrite":0,"total":0.012791}},"stopReason":"toolUse","timestamp":1777862768408,"responseId":"resp_044715aa23543a330169f80870ac7c81958b06e3616644097e"}} {"type":"message","id":"dd314b67","parentId":"f965b4d7","timestamp":"2026-05-04T02:46:28.384Z","message":{"role":"toolResult","toolCallId":"call_68SyjX59eRYNQ0KoerPX2IZA|fc_044715aa23543a330169f80871a6188195992c5e033b8353f9","toolName":"process","content":[{"type":"text","text":"== openclaw status ==\nOpenClaw status\n\nOverview\nโ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”\nโ”‚ Item โ”‚ Value โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ OS โ”‚ linux 6.12.85+deb13-amd64 (x64) ยท node 24.15.0 โ”‚\nโ”‚ Dashboard โ”‚ http://192.168.1.50:18789/ โ”‚\nโ”‚ Tailscale exposure โ”‚ off โ”‚\nโ”‚ Channel โ”‚ stable (default) โ”‚\nโ”‚ Update โ”‚ pnpm ยท up to date ยท npm latest 2026.5.2 โ”‚\nโ”‚ Gateway โ”‚ local ยท ws://127.0.0.1:18789 (local loopback) ยท reachable 71ms ยท auth token ยท debian-ai (192. โ”‚\nโ”‚ โ”‚ 168.1.50) app 2026.5.2 linux 6.12.85+deb13-amd64 โ”‚\nโ”‚ Gateway self โ”‚ debian-ai (192.168.1.50) app 2026.5.2 linux 6.12.85+deb13-amd64 โ”‚\nโ”‚ Gateway service โ”‚ systemd installed ยท enabled ยท running (pid 71014, state active) โ”‚\nโ”‚ Node service โ”‚ systemd not installed โ”‚\nโ”‚ Agents โ”‚ 1 ยท no bootstrap files ยท sessions 6 ยท default main active just now โ”‚\nโ”‚ Memory โ”‚ enabled (plugin memory-core) ยท not checked โ”‚\nโ”‚ Plugin compatibility โ”‚ none โ”‚\nโ”‚ Probes โ”‚ skipped (use --deep) โ”‚\nโ”‚ Events โ”‚ none โ”‚\nโ”‚ Tasks โ”‚ 0 active ยท 0 queued ยท 0 running ยท no issues ยท audit clean ยท 5 tracked โ”‚\nโ”‚ Heartbeat โ”‚ 30m (main) โ”‚\nโ”‚ Sessions โ”‚ 6 active ยท default gpt-5.5 (128k ctx) ยท ~/.openclaw/agents/main/sessions/sessions.json โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n\nSecurity audit\nSkipped in fast status. Full report: openclaw security audit\nDeep probe: openclaw status --deep\n\nChannels\nโ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”\nโ”‚ Channel โ”‚ Enabled โ”‚ State โ”‚ Detail โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ Telegram โ”‚ ON โ”‚ OK โ”‚ token config (8796โ€ฆS0Zs ยท len 46) ยท accounts 1/1 โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n\nSessions\nโ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”\nโ”‚ Key โ”‚ Kind โ”‚ Age โ”‚ Model โ”‚ Tokens โ”‚\nโ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค\nโ”‚ agent:main:main โ”‚ direct โ”‚ just now โ”‚ gpt-5.5 โ”‚ 14k/128k (11%) ยท ๐Ÿ—„๏ธ 92% cached โ”‚\nโ”‚ agent:main:telegram:direct:7229โ€ฆ โ”‚ direct โ”‚ 5m ago โ”‚ gpt-5.5 โ”‚ unknown/128k (?%) ยท ๐Ÿ—„๏ธ 100% cached โ”‚\nโ”‚ agent:main:main:heartbeat โ”‚ direct โ”‚ 8m ago โ”‚ gpt-5.5 โ”‚ unknown/128k (?%) โ”‚\nโ”‚ agent:main:subagent:9703b105-5cโ€ฆ โ”‚ direct โ”‚ 52m ago โ”‚ qwen3.5-9b โ”‚ unknown/66k (?%) โ”‚\nโ”‚ agent:main:telegram:direct:7229โ€ฆ โ”‚ direct โ”‚ 1h ago โ”‚ qwen3.5-9b โ”‚ unknown/66k (?%) โ”‚\nโ”‚ agent:main:subagent:d635e1f9-60โ€ฆ โ”‚ direct โ”‚ 1h ago โ”‚ qwen3.5-9b โ”‚ 17k/66k (27%) โ”‚\nโ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜\n\nFAQ: https://docs.openclaw.ai/faq\nTroubleshooting: https://docs.openclaw.ai/troubleshooting\nNext steps:\n Need to share? openclaw status --all\n Need to debug live? openclaw logs --follow\n Need to test channels? openclaw status --deep\n\n== memory status deep ==\nMemory Search (main)\nProvider: none (requested: auto)\nModel: none\nSources: memory\nIndexed: 6/6 files ยท 19 chunks\nDirty: yes\nStore: ~/.openclaw/memory/main.sqlite\nWorkspace: ~\nDreaming: off\nEmbeddings: unavailable\nEmbeddings error: No GitHub token available for Copilot embedding provider\n\nNo API key found for provider \"openai\". You are authenticated with OpenAI Codex OAuth. Use openai-codex/gpt-5.5, or set OPENAI_API_KEY for direct OpenAI API access.\n\nNo API key found for provider \"google\". Auth store: /home/rurouni/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/rurouni/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add ) or copy only portable static auth profiles from the main agentDir.\n\nNo API key found for provider \"voyage\". Auth store: /home/rurouni/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/rurouni/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add ) or copy only portable static auth profiles from the main agentDir.\n\nNo API key found for provider \"mistral\". Auth store: /home/rurouni/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/rurouni/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add ) or copy only portable static auth profiles from the main agentDir.\n\nNo API key found for provider \"deepinfra\". Auth store: /home/rurouni/.openclaw/agents/main/agent/auth-profiles.json (agentDir: /home/rurouni/.openclaw/agents/main/agent). Configure auth for this agent (openclaw agents add ) or copy only portable static auth profiles from the main agentDir.\n\nNo API key found for provider \"bedrock\". AWS credentials are not available. Set AWS_ACCESS_KEY_ID/AWS_SECRET_ACCESS_KEY, AWS_PROFILE, or AWS_BEARER_TOKEN_BEDROCK, configure an EC2/ECS/EKS role, or set agents.defaults.memorySearch.provider to another provider.\nBy source:\n memory ยท 6/6 files ยท 19 chunks\nVector: unknown\nFTS: ready\nEmbedding cache: enabled (0 entries)\nBatch: disabled (failures 0/2)\nRecall store: 36 entries ยท 0 promoted ยท 36 concept-tagged ยท 0 spaced ยท scripts=36 latin\nRecall path: ~/memory/.dreams/short-term-recall.json\nRecall updated: 2026-05-04T02:45:57.571Z\nDreaming artifacts: diary absent ยท 0 corpus files ยท ingestion state absent\nDream corpus: ~/memory/.dreams/session-corpus\nDream ingestion: ~/memory/.dreams/session-ingestion.json\n\n\n== processes matching memory/qmd/embed/rerank ==\n 56402 llama-server /usr/local/bin/llama-server -m /home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf -c 65536 -ngl 99 -fa on -t 28 -b 2048 -ub 2048 -ctk q8_0 -ctv q8_0 --host 127.0.0.1 --port 8081 --parallel 1 --cont-batching --cache-reuse 256\n 61201 uvicorn /data/openclaw-memory/mem0/venv/bin/python /data/openclaw-memory/mem0/venv/bin/uvicorn service:app --app-dir /data/openclaw-memory/mem0 --host 127.0.0.1 --port 8765 --workers 1\n\n== relevant config grep ==\n/home/rurouni/.openclaw/logs/config-health.json\n/home/rurouni/memory/2026-05-03-memory-cleanup.md\n/home/rurouni/memory/.dreams/short-term-recall.json\n/home/rurouni/memory/2026-05-03-1802.md\n/home/rurouni/memory/2026-05-03.md\n/home/rurouni/memory/2026-05-03-1940.md\n/home/rurouni/memory/2026-05-02.md\n/home/rurouni/.openclaw/logs/config-health.json\n/home/rurouni/src/llama.cpp/pyrightconfig.json\n/home/rurouni/src/llama.cpp/.pre-commit-config.yaml\n/home/rurouni/MEMORY.md\n/home/rurouni/.mem0/config.json\n\nProcess exited with code 0."}],"details":{"persistedDetailsTruncated":true,"originalDetailsBytesAtLeast":8193,"originalDetailKeys":["status","sessionId","exitCode","aggregated","name"],"status":"completed","sessionId":"fresh-summit","name":"set pipefail","exitCode":0},"isError":false,"timestamp":1777862788383}} {"type":"message","id":"fd05a2e2","parentId":"dd314b67","timestamp":"2026-05-04T02:46:32.230Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f80885736c81959072fa8a2a80c7f4\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-AiIRemNdaLCsLej-rPE4cB2RQeaQdIKeAGnfh5P-_Dx-D3doYY40jdBhlPPCLr6I8V2GkmGTxihn7FRprVrGjzyuQfUK44mKCe3BsTGNwV2JvMg29sgx_0-7qALU4ML9T_W7TnD8iMZRSTLS-VWBFmoQ9St4iQm-fQhO6luMJhIOw_OtHrbqQm_mpDstyLGiskU-PNaZXySAPf3Wc1blg9aJBZqw-smaZpUc4xtUoMhepPKmB_BsFXfffze-_QM6tdhur1KcNf4nb399BfdCQ7TXkTwivTG3CmpEUMBv5sfn88tx45rv4l_weT3CI0WMABPWrhZj1FLuK48NG1euEfL-i5mjruztVwxo6bcz36myRW0zvK-xRShxDDyIihLRaivGcGMfs6CC2Fob_Mug7LUMpi88IyOm1poBKNhohmVlXgwAUh3W7hZiFUBBCvwYgBBmavRsGrZLs14ldCX3gBzetOTj1Dfiw9_luraxupbpQHFFo7whWOV6B4yU5Rh6ydPOOwWIGiEPP3Dp0TD448akiNfNvNjTKNOur0wZpHxu5j-PrxbeR1vJ-fxkBYvNnEOdBZ5QBdzCOhx2-K8SCNnSnwPOdeP2c445p-9tEfT5C9ymUiTtmMxuZ3o-V7RPYGtQcxzRXrlMmIMCzBroMWYqlOfPJS2B4RUMCZYQlt9ifXNV0EFz3SzjJveIs8S0CtcdpnW5YKBEUMQJkGZYh9D7WICLfS7uJQcmY3DiMfPRjyscFwW99a2vmBuqe6kzmHStopzyCRfja0OljUTEDgoWLxiTiQoGHpk2qyfSpZNptRHi_339Dcr5vNk9h61eTf567zvxnkVzgYqiSVLi08huKnVfaMtlpQ2sWcD0WWu2i9h-HNXznYQXdLyHYAmXnMbn35IOlAdZNgVQNEUacU-wtVza2olDdl6oT8ws6yYXwUSTumnqKNY64k3jGAIDfzWDg9GFlVzNxvtOpiqVmlSnkWWLRHCDzqwaldJHQU9cmHde2vskL70a4qikvK35MAzDWfNOY6yevweODwxVFtyoRqmbttgju9t9Akyt6muPImUxo37G1S-USD2i-6Xcv9Zk6hV42kh9-xSUpUvp4vC9i3GU9ehKykKZjLszgKy6CQ9fUQ5RoOItFEq2dOyL43nivxFnjoK4M99DkujEw4rqTAfzPdq34-QlNrkG9zYwSyflHGR37kEzHgcEexS_cgs_uG9T3ScJbqZfh6bXPeEdrp5Hu_L_evTyGfHqHcLfNmqoZMR-KPYWo2_seyvt-9YlHdygnweMX5_4kgPNrWXTw==\",\"summary\":[]}"},{"type":"toolCall","id":"call_FzQMVqgbBoKEOJRZo8oX1TWU|fc_044715aa23543a330169f80888169c8195a414d3b3dfb5fc0c","name":"read","arguments":{"path":"/home/rurouni/memory/2026-05-03-1940.md","limit":200}},{"type":"toolCall","id":"call_pnJkG6Xn3oT3hDJlMBGdYXA7|fc_044715aa23543a330169f8088816ac8195966cffca30013172","name":"read","arguments":{"path":"/home/rurouni/memory/2026-05-03-1802.md","limit":200}},{"type":"toolCall","id":"call_ahM87ftS6VEcPBoID3RT4B10|fc_044715aa23543a330169f8088816b0819593e15f6e22c2c7fe","name":"read","arguments":{"path":"/home/rurouni/.mem0/config.json","limit":200}},{"type":"toolCall","id":"call_0TuN5ByDLtmVd6jaiQEmSg3p|fc_044715aa23543a330169f8088816b88195be94580550164fbb","name":"read","arguments":{"path":"/home/rurouni/memory/2026-05-03.md","offset":1,"limit":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":2347,"output":212,"cacheRead":16384,"cacheWrite":0,"totalTokens":18943,"cost":{"input":0.011735,"output":0.00636,"cacheRead":0.008192,"cacheWrite":0,"total":0.026286999999999998}},"stopReason":"toolUse","timestamp":1777862788386,"responseId":"resp_044715aa23543a330169f80884a6788195856f62395b2bb395"}} {"type":"message","id":"ec8221e2","parentId":"fd05a2e2","timestamp":"2026-05-04T02:46:33.033Z","message":{"role":"toolResult","toolCallId":"call_FzQMVqgbBoKEOJRZo8oX1TWU|fc_044715aa23543a330169f80888169c8195a414d3b3dfb5fc0c","toolName":"read","content":[{"type":"text","text":"# Session: 2026-05-03 19:40:30 PDT\n\n- **Session Key**: agent:main:telegram:direct:7229867039\n- **Session ID**: 0bc4101a-d8ae-4593-aa73-d067595938a8\n- **Source**: telegram\n\n## Conversation Summary\n\nuser: can you double check it\nassistant: Bet โ€” what do you want me to double-check? \nSend me the file/command/screenshot/context and Iโ€™ll verify it cleanly.\n"}],"isError":false,"timestamp":1777862793033}} {"type":"message","id":"90bedd95","parentId":"ec8221e2","timestamp":"2026-05-04T02:46:33.033Z","message":{"role":"toolResult","toolCallId":"call_pnJkG6Xn3oT3hDJlMBGdYXA7|fc_044715aa23543a330169f8088816ac8195966cffca30013172","toolName":"read","content":[{"type":"text","text":"# Session: 2026-05-03 18:02:02 PDT\n\n- **Session Key**: agent:main:telegram:direct:7229867039\n- **Session ID**: de0a1833-3c99-4ab2-9670-624410596ab2\n- **Source**: telegram\n"}],"isError":false,"timestamp":1777862793033}} {"type":"message","id":"b4581d73","parentId":"90bedd95","timestamp":"2026-05-04T02:46:33.033Z","message":{"role":"toolResult","toolCallId":"call_ahM87ftS6VEcPBoID3RT4B10|fc_044715aa23543a330169f8088816b0819593e15f6e22c2c7fe","toolName":"read","content":[{"type":"text","text":"{\n \"user_id\": \"28d3c128-2322-4796-9a23-cab76f7aa5b6\"\n}"}],"isError":false,"timestamp":1777862793033}} {"type":"message","id":"80cd9ca4","parentId":"b4581d73","timestamp":"2026-05-04T02:46:33.034Z","message":{"role":"toolResult","toolCallId":"call_0TuN5ByDLtmVd6jaiQEmSg3p|fc_044715aa23543a330169f8088816b88195be94580550164fbb","toolName":"read","content":[{"type":"text","text":"# 2026-05-03 Daily Notes\n\n## Durable setup changes\n\n- Raymond confirmed assistant identity as **Ruruni** ๐Ÿ—ก๏ธ; durable persona/preferences live in `SOUL.md`, `IDENTITY.md`, `USER.md`, and compact `MEMORY.md`.\n- OpenClaw context tuning increased to reduce compaction: `contextTokens: 128000`, `reserveTokensFloor: 24000`, `maxActiveTranscriptBytes: 1000000`, `memoryFlush.softThresholdTokens: 60000`. Backup: `/home/rurouni/backups/context-memory-20260503-012153`.\n- Storage layout verified and documented: backups moved off root through `/home/rurouni/backups` symlink to `/backup/rurouni/openclaw-backups`; model/cache/temp paths documented in long-term memory.\n\n## Local model / OpenClaw routing\n\n- Primary model kept unchanged: `openai-codex/gpt-5.5` via ChatGPT Plus OAuth.\n- Config routing verified: fallbacks are `deepseek/deepseek-v4-pro`, `openrouter/minimax/minimax-m2.7`, then `local-qwen/qwen3.5-9b`.\n- Raymond said to leave DeepSeek Pro fallback as-is for now because it is half off until May 31.\n- Replaced local Qwen3.5-4B with Qwen3.5-9B Q5_K_M GGUF at `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`.\n- `llama-local` serves the 9B model at `127.0.0.1:8081` with `--parallel 1`, `-c 65536`, and full 65k context per request. Initial `--parallel 2` split context and was changed per Raymondโ€™s preference.\n- Stale 4B config refs were removed; old 4B model moved to `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`.\n\n## Memory / embedding work\n\n- Cleaned memory bloat: consolidated durable facts into `MEMORY.md`, moved low-value fragments to `memory/archive/**/*.txt`, and kept active indexed markdown small.\n- Backups created during cleanup: `/home/rurouni/backups/memory-cleanup-20260503-164258` and `/home/rurouni/backups/memory-final-clean-{ts}`.\n- `openclaw memory status --deep` showed builtin FTS ready but embeddings unavailable due no embedding provider credentials; Codex OAuth does not provide OpenAI embeddings.\n- Current hardware check: GTX 1080 Ti 11GB with Qwen3.5-9B loaded used ~9.0GB VRAM with ~2.1GB free; CPU is Xeon E5-2697A v4 (32 threads), RAM 62GiB with plenty available.\n- Raymond proposed CPU-only retrieval: Qwen3-Embedding-0.6B, top_k 30, Qwen3-Reranker-0.6B CPU-only reranking to top 5โ€“8, final context only reranked docs, chunk size 512โ€“1024 tokens with 10โ€“20% overlap, prioritize stability/accuracy/quality over speed.\n- OpenClaw docs indicate builtin memory does not do reranking; QMD is the likely OpenClaw path for local BM25 + vectors + reranking/query expansion. Need verify CPU-only behavior before enabling QMD or downloading models.\n\n## Standing cautions\n\n- Do not change LAN-bound OpenClaw/OPNsense exposure posture without asking.\n- Do not store Raymondโ€™s sudo password; ask or use narrow allowlisted sudo rules.\n# 2026-05-03 Daily Notes\n\n## Durable setup changes\n\n- Raymond confirmed assistant identity as **Ruruni** ๐Ÿ—ก๏ธ; durable persona/preferences live in `SOUL.md`, `IDENTITY.md`, `USER.md`, and compact `MEMORY.md`.\n- OpenClaw context tuning increased to reduce compaction: `contextTokens: 128000`, `reserveTokensFloor: 24000`, `maxActiveTranscriptBytes: 1000000`, `memoryFlush.softThresholdTokens: 60000`. Backup: `/home/rurouni/backups/context-memory-20260503-012153`.\n- Storage layout verified and documented: backups moved off root through `/home/rurouni/backups` symlink to `/backup/rurouni/openclaw-backups`; model/cache/temp paths documented in long-term memory.\n\n## Local model / OpenClaw routing\n\n- Primary model kept unchanged: `openai-codex/gpt-5.5` via ChatGPT Plus OAuth.\n- Config routing verified: fallbacks are `deepseek/deepseek-v4-pro`, `openrouter/minimax/minimax-m2.7`, then `local-qwen/qwen3.5-9b`.\n- Raymond said to leave DeepSeek Pro fallback as-is for now because it is half off until May 31.\n- Replaced local Qwen3.5-4B with Qwen3.5-9B Q5_K_M GGUF at `/home/rurouni/models/qwen3.5-9b/Qwen3.5-9B-Q5_K_M.gguf`.\n- `llama-local` serves the 9B model at `127.0.0.1:8081` with `--parallel 1`, `-c 65536`, and full 65k context per request. Initial `--parallel 2` split context and was changed per Raymondโ€™s preference.\n- Stale 4B config refs were removed; old 4B model moved to `/archive/models/old-qwen/Qwen3.5-4B-Q8_0.gguf`.\n\n## Memory / embedding work\n\n- Cleaned memory bloat: consolidated durable facts into `MEMORY.md`, moved low-value fragments to `memory/archive/**/*.txt`, and kept active indexed markdown small.\n- Backups created during cleanup: `/home/rurouni/backups/memory-cleanup-20260503-164258` and `/home/rurouni/backups/memory-final-clean-{ts}`.\n- `openclaw memory status --deep` showed builtin FTS ready but embeddings unavailable due no embedding provider credentials; Codex OAuth does not provide OpenAI embeddings.\n- Current hardware check: GTX 1080 Ti 11GB with Qwen3.5-9B loaded used ~9.0GB VRAM with ~2.1GB free; CPU is Xeon E5-2697A v4 (32 threads), RAM 62GiB with plenty available.\n- Raymond proposed CPU-only retrieval: Qwen3-Embedding-0.6B, top_k 30, Qwen3-Reranker-0.6B CPU-only reranking to top 5โ€“8, final context only reranked docs, chunk size 512โ€“1024 tokens with 10โ€“20% overlap, prioritize stability/accuracy/quality over speed.\n- OpenClaw docs indicate builtin memory does not do reranking; QMD is the likely OpenClaw path for local BM25 + vectors + reranking/query expansion. Need verify CPU-only behavior before enabling QMD or downloading models.\n\n## Standing cautions\n\n- Do not change LAN-bound OpenClaw/OPNsense exposure posture without asking.\n- Do not store Raymondโ€™s sudo password; ask or use narrow allowlisted sudo rules.\n\n## OpenClaw memory architecture planning\n\n- Raymond wants an efficient OpenClaw memory/context system: Mem0 OSS + Qdrant for long-term memory, QMD Light for workspace/docs only, and Lossless Claw/LCM for long-session compaction.\n- Token budget decisions: normal injected memory target 300โ€“800 tokens; project-heavy 800โ€“1,500 tokens; hard max 2,000 memory/doc tokens. Mem0 topK starts 4โ€“6; injected Mem0 memory starts 512 tokens and maxes 768 unless changed.\n- Ownership boundaries: Mem0 owns long-term memory; QMD owns workspace/document search; LCM owns conversation compaction; OpenClaw base memory stays tiny. Avoid duplicate long-term injection and do not inject full `MEMORY.md`, daily notes, or giant markdown memory files every turn.\n- QMD should be BM25-first (`searchMode: \"search\"`) for docs/configs/commands/files, vector fallback only if needed, no reranker/heavy query mode by default, and no GPU reranking.\n- LCM should use DAG summaries and a pinned version; only inject summaries when the conversation is long enough.\n- Required storage paths for planned stack: `/data/openclaw-memory/qdrant`, `/data/openclaw-memory/mem0`, `/data/openclaw-memory/qmd`, `/data/openclaw-memory/cache`, `/models/embeddings/Qwen3-Embedding-0.6B`, `/backup/openclaw-memory`, `/archive/openclaw-memory`.\n- Before implementation, inspect current OpenClaw install/config/plugins/logs/memory paths, Docker/Podman availability, existing Qdrant/Mem0/QMD/LCM installs, and `nvidia-smi`; print a clear plan before changing anything. Do not modify/overwrite/delete memory/config before backup and explicit approval.\n- Inspection findings so far: OpenClaw `/usr/bin/openclaw` version `2026.5.2 (8b2a6e5)`; gateway dashboard `http://192.168.1.50:18789/`; gateway systemd service installed/enabled/running; builtin `memory-core` enabled; Docker/containerd installed and running; Podman/nerdctl absent; no existing `/data/openclaw-memory`, `/data/qdrant`, `/var/lib/qdrant`; Python packages `mem0`, `qdrant_client`, `fastembed`, `sentence_transformers` absent; global npm has `openclaw@2026.5.2`; GTX 1080 Ti has ~2.1GB free because `llama-server` uses ~9016MiB; `/data`, `/models`, `/backup`, `/archive` have ample space.\n- Relevant docs checked: QMD docs say `memory.backend: \"qmd\"`, `memory.qmd.searchMode: \"search\"` is BM25-only and skips vector probes/embedding maintenance; QMD default indexes `MEMORY.md` + `memory/` unless `includeDefaultMemory` changed; QMD env vars can override models; `memory.qmd.limits` controls max results/snippets/injected chars/timeouts. Context engine docs show LCM plugin install `@martian-engineering/lossless-claw` and selection via `plugins.slots.contextEngine: \"lossless-claw\"` with fallback to `legacy`.\n\n## OpenClaw memory stack finalization notes โ€” 2026-05-03 evening\n\n- Raymond asked why `/backup/openclaw-memory` and `/archive/openclaw-memory` were not created earlier. Earlier noninteractive sudo was unavailable, so fallback backup path `/home/rurouni/backups/...` was used. Lesson: when Raymond later has sudo available, create the desired dedicated backup/archive dirs instead of staying on fallback.\n- Raymond manually created/chowned `/backup/openclaw-memory`, `/archive/openclaw-memory`, `/data/openclaw-memory`, and `/models/embeddings`; review showed OpenClaw gateway running, Qdrant running, Mem0 bridge running, and dirs writable.\n- Tried making Qdrant Docker run as user `1000:1000` to avoid root-owned storage, but stock `qdrant/qdrant:v1.17.1` then restarted due permission errors creating `/qdrant/.qdrant-initialized` and `/qdrant/snapshots/tmp`. Reverted compose to default root container. Qdrant is healthy again. Do not re-add `user: \"1000:1000\"` unless also binding/fixing all Qdrant write paths.\n- Added durable scripts in `/data/openclaw-memory/bin/`: `status`, `start`, `stop`, `restart`, `fix-permissions`, `backup`, `rollback-openclaw-config`.\n- Backup verified at `/backup/openclaw-memory/stack-20260503-183505`, latest symlink `/backup/openclaw-memory/latest`. Includes OpenClaw config, memory/persona files, stack config/scripts, Mem0 service/config/history DB, QMD index, Qdrant snapshots, and SHA256SUMS.\n- Final smoke tests passed: Qdrant `/readyz` says all shards ready; Mem0 `/health` ok and `/relevant_memory` returns compact pinned preference block; QMD BM25 search returns OpenClaw QMD docs; OpenClaw gateway status ok.\n- OpenClaw config was not modified for Mem0 injection or LCM. Current state is safe sidecar stack + scripts + backups; no automatic long-term Mem0 injection into prompts yet.\n"}],"isError":false,"timestamp":1777862793033}} {"type":"message","id":"3d039314","parentId":"80cd9ca4","timestamp":"2026-05-04T02:46:37.221Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f80889f12c819597d6d8ce7e844042\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-AiLZ1ft9_ZBFRUPUsXNQVwx3lrr0bk8voy99oOaddTFqADvqL5ewyEgKbrnPyd3WAtN_TLU8rAL2B8u6lHBgdFFygBY-bOmiXha4zn3fNhhN_frAxHoChEF9kuxWHefX4XM9XNqaKkodqyhrR8bcgZP6NY4qke0yx1RHortWlKSVsCXqitHDjazBCDPEira_GLCyfBLXTGqE2AuKvg9OYQYTfT_EjsZWnp36JasBZ_Rvf8aulI2UFB9y4iDnU53_x9TsZXQOZBEiQeKvL1d4Xe9lY6hzwhrs-9PsSLIDDDVANcn_tqIJbIw0-XGyo86aKtnNBrWkJHDYzaJAC20ZGzYcEvtGMzjVw5KVyX52ENp3S68HZYK37rlghSkA87FeGJoBd_mvyI6tlTTPg06oPQA9EsWtUtdJx48AjgWjsKuwhXIh28bp0NylXxGf3-DFPXIIP9kpU1gHswJB_EhjPDqdb6Rp2rFOA9vM_M_8vEMbI4wUxFpDi5M7Y14QUoBWWCPLkB1Yk0TJJW0oTrGHwobQz7Xz5AOjqhEtF6c1vLooZlOyMMYuwiG0UcP5R4K6W2ssbaqey28I6xYE90mEldJGiXJii57nKC-y4pT-ki69DimU43CT7UAG4BpVWWnns4R9cMIZ-UpN6sf_muQHRpUUguQ53bRpMIT4WhxQxA-cwmbWxQ542km-siosKEbkn1AUjCCo4wfSE4MOKrnGxtDcHGi91iHzJ7GOG5UHQlN4hm1C0FqLiOLHVA_1jluVsjXqGzVdEAoO67fjxXgaywO8PErrXvEtfnUaTOAUKd-IKBBYss1k5ypK7_u8vhuBAKVpmQhh90YJ2gWp1csagwxm8-7RvwslNlG3aIWrcgTr97zakN7Pjba01wSUgZUJLke1UQ8w1ssbV11xd1-uJR7rX8Yfqg3nUtFCEeffwIT4KevU7r3_-76_a3IA9Xz7RtCUUOG490A_dACRHmtwmUwHu8EFmx1t-1_ph6ISUut1xY-2VlDgqE0bGjSjFOTD-R3792LUOj7HuD47VNbShOc4oYM49XFlKl7yKJ-cpJyPBjJi05q1NquD0KBVRvfln7kxiwOHbIlbPIJxQKZsFPR89Ga3LQsj1n_gttnBchbrHucpWU6SPHwg8jTL3prGfBtGQxj4bvpGnS8Uyd6rZtok35e4ZvngOCqs3C6bm7Qqsm0_l02QMXypxAMViiWTO9227NOh0Qc93NmN-taqJQReC-vEbYBH9RsvYR0QCvuEkegJ3E6i-jXJT3nG2UAM8RRZZiAlW7BJUCJkXELtob9ef6FM_pJPmHbPjb0QHDbET35FIBYH15tqp_ChQNi-S6j\",\"summary\":[]}"},{"type":"toolCall","id":"call_0dnsCoHDkZ63oz9mc1YF3isH|fc_044715aa23543a330169f8088b80dc81959c2fd9cf1b4fdb28","name":"update_plan","arguments":{"plan":[{"step":"Inventory current memory stack state","status":"completed"},{"step":"Run health/smoke checks","status":"in_progress"},{"step":"Review configs for unsafe/unfinished integration","status":"pending"},{"step":"Summarize findings and next move","status":"pending"}],"explanation":"Found notes that the sidecar stack was created but OpenClaw config was intentionally not wired for Mem0/LCM yet."}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":3494,"output":171,"cacheRead":18432,"cacheWrite":0,"totalTokens":22097,"cost":{"input":0.017470000000000003,"output":0.00513,"cacheRead":0.009216,"cacheWrite":0,"total":0.031816000000000004}},"stopReason":"toolUse","timestamp":1777862793036,"responseId":"resp_044715aa23543a330169f808894c18819586cd9c0da63df010"}} {"type":"message","id":"410e2001","parentId":"3d039314","timestamp":"2026-05-04T02:46:37.458Z","message":{"role":"toolResult","toolCallId":"call_0dnsCoHDkZ63oz9mc1YF3isH|fc_044715aa23543a330169f8088b80dc81959c2fd9cf1b4fdb28","toolName":"update_plan","content":[],"details":{"status":"updated","explanation":"Found notes that the sidecar stack was created but OpenClaw config was intentionally not wired for Mem0/LCM yet.","plan":[{"step":"Inventory current memory stack state","status":"completed"},{"step":"Run health/smoke checks","status":"in_progress"},{"step":"Review configs for unsafe/unfinished integration","status":"pending"},{"step":"Summarize findings and next move","status":"pending"}]},"isError":false,"timestamp":1777862797457}} {"type":"message","id":"94a3b500","parentId":"410e2001","timestamp":"2026-05-04T02:46:41.850Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_WGextjINds6f83bqnnmGt7QR|fc_044715aa23543a330169f8088e9fe081959a7d1cb1e60a181c","name":"exec","arguments":{"command":"set -o pipefail\nprintf '== memory stack tree ==\\n'\nfind /data/openclaw-memory -maxdepth 3 -type f -o -type l 2>/dev/null | sort | sed 's#^#/##' | head -200\nprintf '\\n== durable status script ==\\n'\n/data/openclaw-memory/bin/status || true\nprintf '\\n== docker containers ==\\n'\ndocker ps --format 'table {{.Names}}\\t{{.Image}}\\t{{.Status}}\\t{{.Ports}}' 2>/dev/null || true\nprintf '\\n== qdrant readyz ==\\n'\ncurl -fsS http://127.0.0.1:6333/readyz || true\nprintf '\\n\\n== mem0 health ==\\n'\ncurl -fsS http://127.0.0.1:8765/health || true\nprintf '\\n\\n== listening ports ==\\n'\nss -ltnp | grep -E ':(6333|6334|8765|18789|8081)\\b' || true\nprintf '\\n== backup latest ==\\n'\nls -lah /backup/openclaw-memory/latest 2>/dev/null || true\nfind -L /backup/openclaw-memory/latest -maxdepth 2 -type f 2>/dev/null | sort | head -80 || true","workdir":"/home/rurouni","yieldMs":1000,"timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":609,"output":340,"cacheRead":21504,"cacheWrite":0,"totalTokens":22453,"cost":{"input":0.0030450000000000004,"output":0.0102,"cacheRead":0.010752,"cacheWrite":0,"total":0.023997}},"stopReason":"toolUse","timestamp":1777862797460,"responseId":"resp_044715aa23543a330169f8088dc1b0819580dd7bbed7a6ea52"}} {"type":"message","id":"3c364e17","parentId":"94a3b500","timestamp":"2026-05-04T02:46:43.232Z","message":{"role":"toolResult","toolCallId":"call_WGextjINds6f83bqnnmGt7QR|fc_044715aa23543a330169f8088e9fe081959a7d1cb1e60a181c","toolName":"exec","content":[{"type":"text","text":"Command still running (session amber-kelp, pid 71368). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"amber-kelp","pid":71368,"startedAt":1777862801993,"cwd":"/home/rurouni","tail":".0.0.1:40048 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 18:47:46 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:54118 - \"POST /relevant_memory HTTP/1.1\" 200 OK\nMay 03 18:51:07 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:59588 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:02:22 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:54434 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:06:50 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:36074 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:09:01 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:54614 - \"GET /health HTTP/1.1\" 200 OK\n{\"ok\":true,\"config\":\"/data/openclaw-memory/config/mem0-config.yaml\"}\n[qmd]\nQMD Status\n\nIndex: /data/openclaw-memory/qmd/cache/qmd/index.sqlite\nSize: 16.0 MB\n\nDocuments\n Total: 724 files indexed\n Vectors: 0 embedded\n Pending: 724 need embedding (run 'qmd embed')\n Updated: 1h ago\n\nAST Chunking\n Status: active\n Languages: typescript, tsx, javascript, python, go, rust\n\nCollections\n openclaw-docs (qmd://openclaw-docs/)\n Pattern: **/*.md\n Files: 598 (updated 1d ago)\n rurouni-workspace (qmd://rurouni-workspace/)\n Pattern: **/*.md\n Files: 126 (updated 1h ago)\n\nExamples\n # List files in a collection\n qmd ls openclaw-docs\n # Get a document\n qmd get qmd://openclaw-docs/path/to/file.md\n # Search within a collection\n qmd search \"query\" -c openclaw-docs\n\nModels\n Embedding: https://huggingface.co/ggml-org/embeddinggemma-300M-GGUF\n Reranking: https://huggingface.co/ggml-org/Qwen3-Reranker-0.6B-Q8_0-GGUF\n Generation: https://huggingface.co/tobil/qmd-query-expansion-1.7B-gguf\nQMD Warning: no GPU acceleration, running on CPU (slow). Run 'qmd status' for details.\n\nDevice\n GPU: none (running on CPU โ€” models will be slow)\n Tip: Install CUDA, Vulkan, or Metal support for GPU acceleration.\n CPU: 16 math cores\n\nTips\n Add context to collections for better search results: openclaw-docs, rurouni-workspace\n qmd context add qmd:/// \"What this collection contains\"\n"},"isError":false,"timestamp":1777862803232}} {"type":"message","id":"57a7ab82","parentId":"3c364e17","timestamp":"2026-05-04T02:46:45.290Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_LuSI39SOlv5ZfG4lNaIBSWMB|fc_044715aa23543a330169f80894c4b08195908db770e8e67d24","name":"process","arguments":{"action":"poll","sessionId":"amber-kelp","timeout":30000,"limit":10000}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":479,"output":34,"cacheRead":22016,"cacheWrite":0,"totalTokens":22529,"cost":{"input":0.002395,"output":0.00102,"cacheRead":0.011007999999999999,"cacheWrite":0,"total":0.014422999999999998}},"stopReason":"toolUse","timestamp":1777862803235,"responseId":"resp_044715aa23543a330169f80893c4088195b4e94d4024857342"}} {"type":"message","id":"276b6a60","parentId":"57a7ab82","timestamp":"2026-05-04T02:46:45.785Z","message":{"role":"toolResult","toolCallId":"call_LuSI39SOlv5ZfG4lNaIBSWMB|fc_044715aa23543a330169f80894c4b08195908db770e8e67d24","toolName":"process","content":[{"type":"text","text":"== memory stack tree ==\n//data/openclaw-memory/bin/backup\n//data/openclaw-memory/bin/fix-permissions\n//data/openclaw-memory/bin/mem0-health\n//data/openclaw-memory/bin/mem0-query\n//data/openclaw-memory/bin/mem0-serve\n//data/openclaw-memory/bin/qmd\n//data/openclaw-memory/bin/qmd-light\n//data/openclaw-memory/bin/restart\n//data/openclaw-memory/bin/rollback-openclaw-config\n//data/openclaw-memory/bin/start\n//data/openclaw-memory/bin/status\n//data/openclaw-memory/bin/stop\n//data/openclaw-memory/config/docker-compose.yml\n//data/openclaw-memory/config/mem0-config.yaml\n//data/openclaw-memory/logs/backup-test.txt\n//data/openclaw-memory/logs/config-fix-20260503-191956.log\n//data/openclaw-memory/logs/core-audit-20260503-185049.txt\n//data/openclaw-memory/logs/lossless-claw-install.txt\n//data/openclaw-memory/logs/mem0-add-test2.json\n//data/openclaw-memory/logs/mem0-add-test.json\n//data/openclaw-memory/logs/mem0-dry-run.log\n//data/openclaw-memory/logs/mem0-install.log\n//data/openclaw-memory/logs/mem0-relevant-test.json\n//data/openclaw-memory/logs/mem0-search-test2.json\n//data/openclaw-memory/logs/mem0-search-test.json\n//data/openclaw-memory/logs/openclaw-config-snapshot.json\n//data/openclaw-memory/logs/pre-finalize-backup-latest.txt\n//data/openclaw-memory/logs/qmd-search-test.json\n//data/openclaw-memory/logs/status-after-scripts.txt\n//data/openclaw-memory/mem0/history.db\n//data/openclaw-memory/mem0/__pycache__/service.cpython-313.pyc\n//data/openclaw-memory/mem0/service.py\n//data/openclaw-memory/mem0/venv/.gitignore\n//data/openclaw-memory/mem0/venv/lib64\n//data/openclaw-memory/mem0/venv/pyvenv.cfg\n//data/openclaw-memory/qdrant/aliases/data.json\n//data/openclaw-memory/qdrant/raft_state.json\n//data/openclaw-memory/tools/npm/package.json\n//data/openclaw-memory/tools/npm/package-lock.json\n\n== durable status script ==\n== OpenClaw memory stack status ==\n\n[dirs]\ndrwxrwsr-x 2 rurouni rurouni 4096 May 3 18:29 /archive/openclaw-memory\ndrwxrwsr-x 5 rurouni rurouni 4096 May 3 19:30 /backup/openclaw-memory\ndrwxrwsr-x 13 rurouni rurouni 4096 May 3 18:29 /data/openclaw-memory\ndrwxrwsr-x 4 rurouni rurouni 4096 May 3 18:29 /models/embeddings\n\n[qdrant]\nNAMES STATUS PORTS\nopenclaw-qdrant Up About an hour 127.0.0.1:6333-6334->6333-6334/tcp\nall shards are ready\n[mem0]\nโ— openclaw-mem0.service - OpenClaw Mem0 local memory bridge\n Loaded: loaded (/home/rurouni/.config/systemd/user/openclaw-mem0.service; enabled; preset: enabled)\n Active: active (running) since Sun 2026-05-03 18:23:54 PDT; 1h 22min ago\n Invocation: 6c661a40b50a467d8b23c228ab5c521c\n Main PID: 61201 (uvicorn)\n Tasks: 120 (limit: 76718)\n Memory: 633.4M (peak: 635.1M)\n CPU: 23.953s\n CGroup: /user.slice/user-1000.slice/user@1000.service/app.slice/openclaw-mem0.service\n โ””โ”€61201 /data/openclaw-memory/mem0/venv/bin/python /data/openclaw-memory/mem0/venv/bin/uvicorn service:app --app-dir /data/openclaw-memory/mem0 --host 127.0.0.1 --port 8765 --workers 1\n\nMay 03 18:24:08 debian-ai mem0-serve[61201]: fastembed not installed โ€” BM25 keyword search disabled. Install with: pip install fastembed\nMay 03 18:24:08 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:57164 - \"POST /relevant_memory HTTP/1.1\" 200 OK\nMay 03 18:28:58 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:50648 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 18:34:54 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:44714 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 18:47:43 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:40048 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 18:47:46 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:54118 - \"POST /relevant_memory HTTP/1.1\" 200 OK\nMay 03 18:51:07 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:59588 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:02:22 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:54434 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:06:50 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:36074 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:09:01 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:54614 - \"GET /health HTTP/1.1\" 200 OK\n{\"ok\":true,\"config\":\"/data/openclaw-memory/config/mem0-config.yaml\"}\n[qmd]\nQMD Status\n\nIndex: /data/openclaw-memory/qmd/cache/qmd/index.sqlite\nSize: 16.0 MB\n\nDocuments\n Total: 724 files indexed\n Vectors: 0 embedded\n Pending: 724 need embedding (run 'qmd embed')\n Updated: 1h ago\n\nAST Chunking\n Status: active\n Languages: typescript, tsx, javascript, python, go, rust\n\nCollections\n openclaw-docs (qmd://openclaw-docs/)\n Pattern: **/*.md\n Files: 598 (updated 1d ago)\n rurouni-workspace (qmd://rurouni-workspace/)\n Pattern: **/*.md\n Files: 126 (updated 1h ago)\n\nExamples\n # List files in a collection\n qmd ls openclaw-docs\n # Get a document\n qmd get qmd://openclaw-docs/path/to/file.md\n # Search within a collection\n qmd search \"query\" -c openclaw-docs\n\nModels\n Embedding: https://huggingface.co/ggml-org/embeddinggemma-300M-GGUF\n Reranking: https://huggingface.co/ggml-org/Qwen3-Reranker-0.6B-Q8_0-GGUF\n Generation: https://huggingface.co/tobil/qmd-query-expansion-1.7B-gguf\nQMD Warning: no GPU acceleration, running on CPU (slow). Run 'qmd status' for details.\n\nDevice\n GPU: none (running on CPU โ€” models will be slow)\n Tip: Install CUDA, Vulkan, or Metal support for GPU acceleration.\n CPU: 16 math cores\n\nTips\n Add context to collections for better search results: openclaw-docs, rurouni-workspace\n qmd context add qmd:/// \"What this collection contains\"\n\n[openclaw]\nService: systemd (enabled)\nFile logs: /tmp/openclaw-1000/openclaw-2026-05-03.log\nCommand: /usr/bin/node /usr/lib/node_modules/openclaw/dist/index.js gateway --port 18789\nService file: ~/.config/systemd/user/openclaw-gateway.service\nService env: OPENCLAW_GATEWAY_PORT=18789\n\nConfig (cli): ~/.openclaw/openclaw.json\nConfig (service): ~/.openclaw/openclaw.json\n\nGateway: bind=lan (0.0.0.0), port=18789 (service args)\nProbe target: ws://127.0.0.1:18789\nDashboard: http://192.168.1.50:18789/\nProbe note: bind=lan listens on 0.0.0.0 (all interfaces); probing via 127.0.0.1.\n\nRuntime: running (pid 71014, state active, sub running, last exit 0, reason 0)\nConnectivity probe: ok\nCapability: admin-capable\n\nListening: *:18789\nTroubles: run openclaw status\nTroubleshooting: https://docs.openclaw.ai/troubleshooting\n\n== docker containers ==\nNAMES IMAGE STATUS PORTS\nopenclaw-qdrant qdrant/qdrant:v1.17.1 Up About an hour 127.0.0.1:6333-6334->6333-6334/tcp\n\n== qdrant readyz ==\nall shards are ready\n\n== mem0 health ==\n{\"ok\":true,\"config\":\"/data/openclaw-memory/config/mem0-config.yaml\"}\n\n== listening ports ==\nLISTEN 0 2048 127.0.0.1:8765 0.0.0.0:* users:((\"uvicorn\",pid=61201,fd=13)) \nLISTEN 0 511 0.0.0.0:18789 0.0.0.0:* users:((\"MainThread\",pid=71014,fd=25)) \nLISTEN 0 512 127.0.0.1:8081 0.0.0.0:* users:((\"llama-server\",pid=56402,fd=14))\nLISTEN 0 4096 127.0.0.1:6334 0.0.0.0:* \nLISTEN 0 4096 127.0.0.1:6333 0.0.0.0:* \n\n== backup latest ==\nlrwxrwxrwx 1 rurouni rurouni 45 May 3 18:50 /backup/openclaw-memory/latest -> /backup/openclaw-memory/stack-20260503-185038\n/backup/openclaw-memory/latest/config/docker-compose.yml\n/backup/openclaw-memory/latest/config/mem0-config.yaml\n/backup/openclaw-memory/latest/mem0/history.db\n/backup/openclaw-memory/latest/mem0/mem0-config.yaml\n/backup/openclaw-memory/latest/mem0/service.py\n/backup/openclaw-memory/latest/openclaw/AGENTS.md\n/backup/openclaw-memory/latest/openclaw/IDENTITY.md\n/backup/openclaw-memory/latest/openclaw-memory-config-files.tar.gz\n/backup/openclaw-memory/latest/openclaw/MEMORY.md\n/backup/openclaw-memory/latest/openclaw/openclaw.json\n/backup/openclaw-memory/latest/openclaw/SOUL.md\n/backup/openclaw-memory/latest/openclaw/USER.md\n/backup/openclaw-memory/latest/qdrant-snapshots/mem0migrations-mem0migrations-8579931276517667-2026-05-04-01-50-38.snapshot\n/backup/openclaw-memory/latest/qdrant-snapshots/openclaw_mem0-openclaw_mem0-8579931276517667-2026-05-04-01-50-38.snapshot\n/backup/openclaw-memory/latest/qmd/index.sqlite\n/backup/openclaw-memory/latest/scripts/backup\n/backup/openclaw-memory/latest/scripts/fix-permissions\n/backup/openclaw-memory/latest/scripts/mem0-health\n/backup/openclaw-memory/latest/scripts/mem0-query\n/backup/openclaw-memory/latest/scripts/mem0-serve\n/backup/openclaw-memory/latest/scripts/qmd\n/backup/openclaw-memory/latest/scripts/qmd-light\n/backup/openclaw-memory/latest/scripts/restart\n/backup/openclaw-memory/latest/scripts/rollback-openclaw-config\n/backup/openclaw-memory/latest/scripts/start\n/backup/openclaw-memory/latest/scripts/status\n/backup/openclaw-memory/latest/scripts/stop\n/backup/openclaw-memory/latest/SHA256SUMS.txt\n\nProcess exited with code 0."}],"details":{"persistedDetailsTruncated":true,"originalDetailsBytesAtLeast":8193,"originalDetailKeys":["status","sessionId","exitCode","aggregated","name"],"status":"completed","sessionId":"amber-kelp","name":"set pipefail","exitCode":0},"isError":false,"timestamp":1777862805785}} {"type":"message","id":"b6129f0a","parentId":"276b6a60","timestamp":"2026-05-04T02:47:09.485Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f80899316c819589c28f0e169fcd28\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-AisG9Hj5fJOhIeEOxmnUC80K29xQcyY9uWWbI5hcEX509r6opjaNBuVDvU6s9yWuHoPag7CPSihgpDQ4ti3LotpHv-kwUN23KhQv7Nt2kd5RegOW_7h5z57BaB-OMv3Ec-FSVwoWvEpirRX26Clqx7T2aDr6cuWC_3vXfsFrb0Bp9Mh7jlBtYoUI9qBDuH4JEQ914-pDBSKuqgz52SnFDMs6L7IY6yT752JHzUAyA8tWefCQ4YaL8ww7Wj6C0ECtw15PyUZZQ9Dq8_qBOL7rGDbjjcKgZmKEkcxEsZNpAM_eVviV38YHucSZhV0wF8PnTGljdGUyYw1h_JaAW0QL7NqlqSIJrQRjKJo0pdOfHPmKdTUTGaGk6mjaQxNdexv2Jjyf-8NkO4WxKqanfQSYL7qwJURueWIxKsA0nnEG226cILTlAJEUeNIZJI7_Cs2AZcW22O8WCpPJUlAkuiG971dzM0L5RnqKuFkqRZ-0Smy0O5ysn9qgZjETjOXq8f0jzUXSDNSxjn5pywbnzUufbOi47WrA2HKRT4m4dLCMpK0TCKMIljtvFpIGZgubaQTvDlyiOz9yDQsJNyeROA36zWMWPKWpNBPDo_mYV0AYr2L3UYeyqOIPo5IoQEB2SLib1kSSNE59yIO3BYNwwItzxSLHPhx3ayVNsUzdMVP-4mtSpWF3PWs9pIoWmrmCOoRL3446h4ZFczOeLV8pQm81mFRaVEEyIVdpjnQ76EfnDivW1faSFwjKmKrCIiOsO1ilE-h3y64pS69RUnvI1XnTfDJHQ04UoMGaYnb9UkDkz8uR_O8xTvw7C4vxZkxs6ao1xdM1kPcprdx_LdxqAOKWVOo2mkMAw1_O94LyfCirvlDM5I9VF-CNCZtuVsTB32kx0A43xl6tndD2oseHxYHfzmBXySh6fBPgHpizxOldvSSP9zX7o0C5oPRKoiIXyatlR41oouLBDE1eDZj3fKrLVWWspT8J_T7LSxHa3NyrYopc-oCaLHWI4xOllCvIIFU0tAFbcUIyzYJxp5MbtTS5H7L9PS9l8CkUEfYJtO8hsrrlIxKX-JohLcxQgZHwqd8pZigcaqF9smb3gJ7Kg8MzqYVKaPOYOzflKCuZZq8EPDukqVZukW1hhjmUkwFDB_Efto_rF5TssgbuAByC-fdMFS9sZ9EyF2Vg8Ae00ODS5V7niVcNiFvrvZmkhWYIHDMPlNPvc94K0HcugLk5OUURB860RXiytjjIybA8izy_ElV9G1IOJTX1nSVaqj1eFCsgPZAlaAl3759cxAFvyjGjPi1dON3fRfhJeSwHbkT6nnsP6o1_zSqhMZcmJO-enNnwOLqNVYpBC93CC_aJv_hnyFIVg==\",\"summary\":[]}"},{"type":"toolCall","id":"call_qBdDOdpiimEclT954uACKBiv|fc_044715aa23543a330169f808ac9c7481959b2c411c39169b6e","name":"read","arguments":{"path":"/home/rurouni/.openclaw/openclaw.json","limit":260}},{"type":"toolCall","id":"call_nhPyGWjbuGM0GosS52FWLiQF|fc_044715aa23543a330169f808ac9c88819582ca9f0759d7162e","name":"read","arguments":{"path":"/data/openclaw-memory/config/mem0-config.yaml","limit":240}},{"type":"toolCall","id":"call_H95a8hK6RApypCDXdemTMjgO|fc_044715aa23543a330169f808ac9c948195b0239c8c4ed555e1","name":"read","arguments":{"path":"/data/openclaw-memory/config/docker-compose.yml","limit":160}},{"type":"toolCall","id":"call_tTw1As9GiX9URHJm4IzZo0o4|fc_044715aa23543a330169f808ac9ca0819588af12fc49b6fc02","name":"read","arguments":{"path":"/data/openclaw-memory/mem0/service.py","limit":260}},{"type":"toolCall","id":"call_meOe6ZzH2dU8QeSyNtUG5pzk|fc_044715aa23543a330169f808ac9ca881958719a9cdafcc48e2","name":"read","arguments":{"path":"/data/openclaw-memory/bin/qmd-light","limit":160}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":3522,"output":231,"cacheRead":22016,"cacheWrite":0,"totalTokens":25769,"cost":{"input":0.01761,"output":0.00693,"cacheRead":0.011007999999999999,"cacheWrite":0,"total":0.035547999999999996}},"stopReason":"toolUse","timestamp":1777862805787,"responseId":"resp_044715aa23543a330169f808968494819596dcb203b9571ba3"}} {"type":"message","id":"4399021c","parentId":"b6129f0a","timestamp":"2026-05-04T02:47:10.435Z","message":{"role":"toolResult","toolCallId":"call_qBdDOdpiimEclT954uACKBiv|fc_044715aa23543a330169f808ac9c7481959b2c411c39169b6e","toolName":"read","content":[{"type":"text","text":"{\n \"env\": {\n \"OPENROUTER_API_KEY\": \"sk-or-โ€ฆ2479\"\n },\n \"agents\": {\n \"defaults\": {\n \"workspace\": \"/home/rurouni\",\n \"model\": {\n \"primary\": \"openai-codex/gpt-5.5\",\n \"fallbacks\": [\n \"deepseek/deepseek-v4-pro\",\n \"openrouter/minimax/minimax-m2.7\",\n \"local-qwen/qwen3.5-9b\"\n ]\n },\n \"models\": {\n \"openrouter/minimax/minimax-m2.7\": {\n \"alias\": \"MiniMax\"\n },\n \"openai-codex/gpt-5.5\": {},\n \"local-qwen/qwen3.5-9b\": {\n \"alias\": \"local\",\n \"params\": {\n \"temperature\": 0.6,\n \"top_p\": 0.95,\n \"top_k\": 20\n }\n },\n \"deepseek/deepseek-v4-pro\": {}\n },\n \"contextTokens\": 128000,\n \"compaction\": {\n \"reserveTokensFloor\": 24000,\n \"truncateAfterCompaction\": true,\n \"maxActiveTranscriptBytes\": 1000000,\n \"notifyUser\": true,\n \"memoryFlush\": {\n \"enabled\": true,\n \"softThresholdTokens\": 60000\n }\n },\n \"contextInjection\": \"continuation-skip\",\n \"experimental\": {\n \"localModelLean\": true\n },\n \"thinkingDefault\": \"off\",\n \"verboseDefault\": \"off\",\n \"blockStreamingDefault\": \"on\",\n \"heartbeat\": {\n \"every\": \"30m\",\n \"isolatedSession\": true,\n \"lightContext\": true,\n \"activeHours\": {\n \"start\": \"07:00\",\n \"end\": \"23:00\"\n },\n \"model\": \"local-qwen/qwen3.5-9b\"\n },\n \"subagents\": {\n \"model\": \"local-qwen/qwen3.5-9b\"\n },\n \"sandbox\": {\n \"mode\": \"off\"\n },\n \"bootstrapMaxChars\": 6000,\n \"bootstrapTotalMaxChars\": 20000\n }\n },\n \"gateway\": {\n \"mode\": \"local\",\n \"auth\": {\n \"mode\": \"token\",\n \"token\": \"yS_kWJโ€ฆBsqA\",\n \"rateLimit\": {\n \"maxAttempts\": 10,\n \"windowMs\": 60000,\n \"lockoutMs\": 300000\n }\n },\n \"port\": 18789,\n \"bind\": \"lan\",\n \"tailscale\": {\n \"mode\": \"off\",\n \"resetOnExit\": false\n },\n \"controlUi\": {\n \"allowInsecureAuth\": false,\n \"allowedOrigins\": [\n \"http://localhost:18789\",\n \"http://127.0.0.1:18789\",\n \"https://192.168.1.50:18788\"\n ]\n },\n \"nodes\": {\n \"denyCommands\": [\n \"camera.snap\",\n \"camera.clip\",\n \"screen.record\",\n \"contacts.add\",\n \"calendar.add\",\n \"reminders.add\",\n \"sms.send\",\n \"sms.search\"\n ]\n },\n \"remote\": {\n \"token\": \"yS_kWJโ€ฆBsqA\"\n }\n },\n \"session\": {\n \"dmScope\": \"per-channel-peer\",\n \"maintenance\": {\n \"mode\": \"enforce\",\n \"pruneAfter\": \"30d\",\n \"maxEntries\": 500,\n \"maxDiskBytes\": 50000000,\n \"highWaterBytes\": 40000000\n }\n },\n \"tools\": {\n \"profile\": \"coding\",\n \"web\": {\n \"search\": {\n \"provider\": \"duckduckgo\",\n \"enabled\": true,\n \"timeoutSeconds\": 8,\n \"cacheTtlMinutes\": 30,\n \"maxResults\": 5\n }\n },\n \"loopDetection\": {\n \"enabled\": true,\n \"historySize\": 20,\n \"warningThreshold\": 5\n },\n \"elevated\": {\n \"enabled\": true,\n \"allowFrom\": {\n \"telegram\": [\n \"7229867039\"\n ]\n }\n },\n \"deny\": [\n \"group:web\",\n \"browser\"\n ]\n },\n \"models\": {\n \"mode\": \"merge\",\n \"providers\": {\n \"local-qwen\": {\n \"baseUrl\": \"http://127.0.0.1:8081/v1\",\n \"apiKey\": \"***\",\n \"api\": \"openai-completions\",\n \"models\": [\n {\n \"id\": \"qwen3.5-9b\",\n \"name\": \"Qwen3.5-9B Local\",\n \"contextWindow\": 65536,\n \"maxTokens\": 8192,\n \"reasoning\": false,\n \"input\": [\n \"text\"\n ],\n \"cost\": {\n \"input\": 0,\n \"output\": 0,\n \"cacheRead\": 0,\n \"cacheWrite\": 0\n }\n }\n ]\n },\n \"deepseek\": {\n \"baseUrl\": \"https://api.deepseek.com\",\n \"api\": \"openai-completions\",\n \"models\": [\n {\n \"id\": \"deepseek-v4-flash\",\n \"name\": \"DeepSeek V4 Flash\",\n \"reasoning\": true,\n \"input\": [\n \"text\"\n ],\n \"cost\": {\n \"input\": 0.14,\n \"output\": 0.28,\n \"cacheRead\": 0.028,\n \"cacheWrite\": 0\n },\n \"contextWindow\": 1000000,\n \"maxTokens\": 384000,\n \"compat\": {\n \"supportsReasoningEffort\": true,\n \"supportsUsageInStreaming\": true,\n \"maxTokensField\": \"max_tokens\"\n },\n \"api\": \"openai-completions\"\n },\n {\n \"id\": \"deepseek-v4-pro\",\n \"name\": \"DeepSeek V4 Pro\",\n \"reasoning\": true,\n \"input\": [\n \"text\"\n ],\n \"cost\": {\n \"input\": 1.74,\n \"output\": 3.48,\n \"cacheRead\": 0.145,\n \"cacheWrite\": 0\n },\n \"contextWindow\": 1000000,\n \"maxTokens\": 384000,\n \"compat\": {\n \"supportsReasoningEffort\": true,\n \"supportsUsageInStreaming\": true,\n \"maxTokensField\": \"max_tokens\"\n },\n \"api\": \"openai-completions\"\n },\n {\n \"id\": \"deepseek-chat\",\n \"name\": \"DeepSeek Chat\",\n \"reasoning\": false,\n \"input\": [\n \"text\"\n ],\n \"cost\": {\n \"input\": 0.28,\n \"output\": 0.42,\n \"cacheRead\": 0.028,\n \"cacheWrite\": 0\n },\n \"contextWindow\": 131072,\n \"maxTokens\": 8192,\n \"compat\": {\n \"supportsUsageInStreaming\": true,\n \"maxTokensField\": \"max_tokens\"\n },\n \"api\": \"openai-completions\"\n },\n {\n \"id\": \"deepseek-reasoner\",\n \"name\": \"DeepSeek Reasoner\",\n \"reasoning\": true,\n \"input\": [\n \"text\"\n ],\n \"cost\": {\n \"input\": 0.28,\n \"output\": 0.42,\n \"cacheRead\": 0.028,\n \"cacheWrite\": 0\n },\n \"contextWindow\": 131072,\n \"maxTokens\": 65536,\n \"compat\": {\n \"supportsReasoningEffort\": false,\n\n[280 more lines in file. Use offset=261 to continue.]"}],"isError":false,"timestamp":1777862830435}} {"type":"message","id":"c9f6c600","parentId":"4399021c","timestamp":"2026-05-04T02:47:10.435Z","message":{"role":"toolResult","toolCallId":"call_nhPyGWjbuGM0GosS52FWLiQF|fc_044715aa23543a330169f808ac9c88819582ca9f0759d7162e","toolName":"read","content":[{"type":"text","text":"version: v1.1\nhistory_db_path: /data/openclaw-memory/mem0/history.db\nvector_store:\n provider: qdrant\n config:\n collection_name: openclaw_mem0\n host: 127.0.0.1\n port: 6333\n embedding_model_dims: 1024\n on_disk: true\nembedder:\n provider: huggingface\n config:\n model: /models/embeddings/Qwen3-Embedding-0.6B-hf\n embedding_dims: 1024\n model_kwargs:\n device: cpu\n trust_remote_code: true\nllm:\n provider: openai\n config:\n model: Qwen3.5-9B-Q5_K_M.gguf\n openai_base_url: http://127.0.0.1:8081/v1\n api_key: local\n temperature: 0.1\n"}],"isError":false,"timestamp":1777862830435}} {"type":"message","id":"158a7dbb","parentId":"c9f6c600","timestamp":"2026-05-04T02:47:10.435Z","message":{"role":"toolResult","toolCallId":"call_H95a8hK6RApypCDXdemTMjgO|fc_044715aa23543a330169f808ac9c948195b0239c8c4ed555e1","toolName":"read","content":[{"type":"text","text":"services:\n qdrant:\n image: qdrant/qdrant:v1.17.1\n container_name: openclaw-qdrant\n restart: unless-stopped\n ports:\n - \"127.0.0.1:6333:6333\"\n - \"127.0.0.1:6334:6334\"\n volumes:\n - /data/openclaw-memory/qdrant:/qdrant/storage\n environment:\n QDRANT__SERVICE__HTTP_PORT: \"6333\"\n QDRANT__SERVICE__GRPC_PORT: \"6334\"\n QDRANT__LOG_LEVEL: INFO\n"}],"isError":false,"timestamp":1777862830435}} {"type":"message","id":"c096707b","parentId":"158a7dbb","timestamp":"2026-05-04T02:47:10.435Z","message":{"role":"toolResult","toolCallId":"call_tTw1As9GiX9URHJm4IzZo0o4|fc_044715aa23543a330169f808ac9ca0819588af12fc49b6fc02","toolName":"read","content":[{"type":"text","text":"import os, json\nos.environ.setdefault('CUDA_VISIBLE_DEVICES','')\nos.environ.setdefault('HF_HOME','/data/openclaw-memory/cache/hf')\nos.environ.setdefault('TRANSFORMERS_CACHE','/data/openclaw-memory/cache/hf')\nos.environ.pop('OPENROUTER_API_KEY', None)\nos.environ['OPENAI_API_KEY']='local'\nos.environ['OPENAI_BASE_URL']='http://127.0.0.1:8081/v1'\nfrom typing import Optional, List, Dict, Any\nfrom fastapi import FastAPI\nfrom pydantic import BaseModel, Field\nimport yaml\nfrom mem0 import Memory\n\nCONFIG='/data/openclaw-memory/config/mem0-config.yaml'\napp=FastAPI(title='OpenClaw Mem0 Local Bridge', version='0.1.0')\n_mem=None\n\ndef mem():\n global _mem\n if _mem is None:\n _mem=Memory.from_config(yaml.safe_load(open(CONFIG)))\n return _mem\n\nclass AddReq(BaseModel):\n text: str\n user_id: str = 'raymond'\n category: str = 'project_fact'\n tags: List[str] = Field(default_factory=list)\n infer: bool = True\n\nclass SearchReq(BaseModel):\n query: str\n user_id: str = 'raymond'\n limit: int = 5\n max_chars: int = 2200\n\n@app.get('/health')\ndef health():\n mem()\n return {'ok': True, 'config': CONFIG}\n\n@app.post('/add')\ndef add(req: AddReq):\n metadata={'category':req.category, 'tags':req.tags}\n return mem().add(req.text, user_id=req.user_id, metadata=metadata, infer=req.infer)\n\n@app.post('/search')\ndef search(req: SearchReq):\n return mem().search(req.query, filters={'user_id': req.user_id}, limit=req.limit)\n\n@app.post('/relevant_memory')\ndef relevant_memory(req: SearchReq):\n res=mem().search(req.query, filters={'user_id': req.user_id}, limit=req.limit)\n rows=res.get('results', res if isinstance(res, list) else [])\n buckets={'pinned':[], 'user_preference':[], 'project_fact':[], 'command':[], 'system_config':[], 'temporary':[]}\n for r in rows:\n text=r.get('memory') or r.get('text') or str(r)\n meta=r.get('metadata') or {}\n cat=meta.get('category') or 'project_fact'\n tags=meta.get('tags') or []\n key='pinned' if 'pinned' in tags else cat if cat in buckets else 'project_fact'\n line=f\"- {text}\"\n if line not in buckets[key]: buckets[key].append(line)\n sections=[]\n labels={'pinned':'Pinned facts','user_preference':'Relevant user preferences','project_fact':'Current project facts','command':'Useful commands','system_config':'System/config facts','temporary':'Temporary notes'}\n total=0\n for k in ['pinned','user_preference','project_fact','system_config','command','temporary']:\n if not buckets[k]: continue\n block=labels[k]+':\\n'+'\\n'.join(buckets[k])\n if total+len(block)>req.max_chars: break\n sections.append(block); total += len(block)\n body='\\n\\n'.join(sections).strip()\n return {'text': '\\n'+body+'\\n' if body else '', 'results': rows}\n"}],"isError":false,"timestamp":1777862830435}} {"type":"message","id":"9e1a1a74","parentId":"c096707b","timestamp":"2026-05-04T02:47:10.436Z","message":{"role":"toolResult","toolCallId":"call_meOe6ZzH2dU8QeSyNtUG5pzk|fc_044715aa23543a330169f808ac9ca881958719a9cdafcc48e2","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env bash\nset -euo pipefail\nexport XDG_CACHE_HOME=/data/openclaw-memory/qmd/cache\nexport XDG_CONFIG_HOME=/data/openclaw-memory/qmd/config\nexport QMD_LLAMA_GPU=false\nexport QMD_EMBED_MODEL=\"file:/models/embeddings/Qwen3-Embedding-0.6B/Qwen3-Embedding-0.6B-Q8_0.gguf\"\nexec /data/openclaw-memory/bin/qmd \"$@\"\n"}],"isError":false,"timestamp":1777862830435}} {"type":"message","id":"9b95120f","parentId":"9e1a1a74","timestamp":"2026-05-04T02:47:10.441Z","message":{"role":"user","content":[{"type":"text","text":"Sender (untrusted metadata):\n```json\n{\n \"label\": \"openclaw-tui\",\n \"id\": \"openclaw-tui\",\n \"name\": \"openclaw-tui\",\n \"username\": \"openclaw-tui\"\n}\n```\n\n[Sun 2026-05-03 19:47 PDT] Goal:\nBuild the best OpenClaw memory and context system with token cost in mind. I want fast memory retrieval, low prompt injection size, and relevant context only. Do not build a bloated memory setup that injects everything every turn.\n\nTarget architecture:\n\nRUNTIME:\n1. Mem0 OSS + Qdrant\n - Main long-term memory brain\n - Self-hosted\n - Used for personal memory, project memory, decisions, preferences, commands, and facts\n - Must use strict retrieval and injection limits\n\n2. Qwen3-Embedding-0.6B\n - Use as the embedder\n - Prefer GPU acceleration if it fits safely\n - Keep it small and efficient\n - Do not let it starve my main chat model of VRAM\n - If GPU memory is too tight, fall back to CPU automatically or explain the tradeoff before changing anything\n\n3. QMD Light\n - Workspace/document search only\n - Use BM25 search first\n - Use vector search only as fallback\n - Do not use reranker\n - Do not use heavy qmd query mode by default\n - No GPU reranking\n\n4. Lossless Claw / LCM\n - Long-session context compaction\n - DAG summaries\n - Version pinned\n - Keeps conversation history from bloating prompt context\n\n5. OpenClaw base memory\n - Keep MEMORY.md tiny\n - Keep identity/personality files tiny\n - Do not inject all daily notes every turn\n - Do not inject giant Markdown memory files every turn\n\nMAINTENANCE:\n- Weekly memory hygiene:\n - duplicate merging\n - stale memory pruning\n - decay scoring\n - contradiction cleanup\n - promote important memories to pinned facts\n- Weekly backups:\n - Qdrant snapshots\n - Mem0 state/config\n - QMD indexes\n - OpenClaw memory files\n\nImportant token budget rules:\n- Normal turn memory injection target: 300โ€“800 tokens\n- Project-heavy turn: 800โ€“1,500 tokens\n- Hard max: 2,000 memory/doc tokens\n- Never inject full MEMORY.md, full daily notes, or full workspace docs every turn\n- Mem0 topK should start at 4โ€“6\n- Mem0 injected memory should start at 512 tokens and max at 768 unless I manually change it\n- QMD retrieved snippets should only be injected when the user asks about docs, configs, commands, or files\n- LCM summaries should only be injected when the conversation is long enough to need them\n\nMemory ownership rules:\n- Mem0 owns long-term memory.\n- QMD owns workspace/document search.\n- LCM owns long-session conversation compaction.\n- OpenClaw base memory stays tiny.\n- Only one system should inject long-term memory into the prompt.\n- Avoid duplicate memory injection.\n\nStorage layout:\nUse these folders unless there is a better reason not to:\n\n/data/openclaw-memory/qdrant\n/data/openclaw-memory/mem0\n/data/openclaw-memory/qmd\n/data/openclaw-memory/cache\n/models/embeddings/Qwen3-Embedding-0.6B\n/backup/openclaw-memory\n/archive/openclaw-memory\n\nBefore changing anything:\n1. Inspect my current OpenClaw install and config.\n2. Detect how OpenClaw memory plugins are currently configured.\n3. Detect whether Docker/Podman is installed.\n4. Detect whether Qdrant is already installed.\n5. Detect whether Mem0 is already installed.\n6. Detect whether QMD is installed.\n7. Detect whether Lossless Claw / LCM is installed.\n8. Detect current GPU VRAM usage with nvidia-smi.\n9. Confirm where OpenClaw stores config, memory, plugins, and logs.\n10. Print a clear plan before making changes.\n\nImplementation requirements:\n- Prefer production-stable versions.\n- Version-pin anything that could break later.\n- Use /data for active databases and indexes.\n- Use /models for embedding model files.\n- Use /backup for backup snapshots.\n- Do not put big databases on the root partition.\n- Do not overwrite existing OpenClaw memory files without backing them up first.\n- Do not delete anything unless I explicitly approve it.\n- Create rollback steps.\n- Create health-check commands.\n- Create a simple status command/script if possible.\n\nQwen3-Embedding-0.6B requirements:\n- Download/store under /models/embeddings/Qwen3-Embedding-0.6B.\n- Try to run it efficiently.\n- Prefer GPU only if it does not interfere with my main model.\n- Because my GTX 1080 Ti usually has only about 2GB free VRAM, use a conservative setup:\n - small batch size\n - low concurrency\n - short max sequence length unless needed\n - cached embeddings\n - automatic fallback to CPU if CUDA OOM happens\n- Do not use a reranker.\n- Do not load a second large LLM for memory tasks.\n\nMem0 + Qdrant requirements:\n- Set up Qdrant storage under /data/openclaw-memory/qdrant.\n- Set up Mem0 state/config under /data/openclaw-memory/mem0.\n- Configure Mem0 to use Qdrant.\n- Configure Mem0 to use Qwen3-Embedding-0.6B as the embedder.\n- Keep recall topK low.\n- Keep injected memory compact.\n- Store durable facts, not full conversations.\n- Avoid saving injected memory blocks back into memory.\n- Add tags/categories when possible:\n - pinned\n - user_preference\n - project_fact\n - command\n - system_config\n - temporary\n - stale_candidate\n\nQMD Light requirements:\n- Install/configure QMD only in light mode.\n- Index useful workspace Markdown/docs/configs.\n- Use BM25 search as default.\n- Use vector search only when keyword search fails.\n- Disable reranking and heavy hybrid query mode.\n- Do not auto-inject QMD results every turn.\n- QMD should only be called when the user asks for docs/configs/commands/files or when the task clearly needs workspace search.\n\nLossless Claw / LCM requirements:\n- Install or configure it only if compatible with my current OpenClaw version.\n- Version-pin it.\n- Use fresh tail around 32โ€“48 messages.\n- Use context threshold around 0.75.\n- Keep prompt-aware eviction OFF at first.\n- It should handle session continuity only, not personal long-term facts.\n\nOpenClaw prompt injection policy:\nCreate or update the memory injection policy so it behaves like this:\n\n1. Classify whether the turn needs memory.\n2. If no memory is needed, inject no long-term memory.\n3. If memory is needed, query Mem0 only.\n4. Inject only the top relevant memories, compacted.\n5. If the user asks about docs/configs/commands/files, query QMD Light.\n6. If the session is long, allow LCM summary injection.\n7. Keep total memory/context injection within budget.\n8. Never inject all memory files by default.\n\nDesired injected memory format:\n\n\nPinned facts:\n- ...\n\nRelevant user preferences:\n- ...\n\nCurrent project facts:\n- ...\n\nUseful commands/config:\n- ...\n\n\nDo not include huge raw logs unless specifically needed.\n\nMemory hygiene:\nCreate a weekly maintenance command or script that:\n- backs up Mem0/Qdrant/QMD first\n- finds duplicate memories\n- marks stale memories\n- prunes temporary old memories\n- keeps pinned memories\n- exports a readable memory report\n- does not delete aggressively without logs\n\nBackups:\nCreate backup commands/scripts for:\n- Qdrant snapshots\n- Mem0 config/state\n- QMD indexes\n- OpenClaw MEMORY.md and daily notes\nUse /backup/openclaw-memory as backup target.\n\nDeliverables:\n1. Show me the exact current state you detected.\n2. Give me the implementation plan.\n3. Create the folder structure.\n4. Install/configure the services/tools.\n5. Configure Qwen3-Embedding-0.6B.\n6. Configure Mem0 + Qdrant.\n7. Configure QMD Light.\n8. Configure LCM if compatible.\n9. Configure OpenClaw injection behavior.\n10. Create backup and hygiene scripts.\n11. Create health-check commands.\n12. Give me final copy-paste commands to start/stop/restart/status.\n13. Give me a short explanation of how memory flows per turn.\n14. Give me rollback instructions.\n\nBe careful:\n- Do not break my existing OpenClaw.\n- Backup before edits.\n- Keep token usage low.\n- Keep GPU VRAM usage safe.\n- No reranker.\n- No heavy qmd query mode.\n- Do not put big data on root.\n- Ask me before deleting anything."}],"timestamp":1777862822998}} {"type":"message","id":"5365e7e7","parentId":"9b95120f","timestamp":"2026-05-04T02:47:15.366Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f808af81d0819591e5eab96b61fcee\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-AiwGhz_C1XJ9Ld6qvngX-dfAx2T9E5qCNxeDnQ4AdM6VIZzOqEsphYu7FFp8XxIMC-luT027bivI1zpvuPolh-DwSyimGwoJtghBZwbi1kVNriJACx5wZT5njNGq8flnzx_ihQqlA8JetMl-jIUTOyk8VFi3JcCZeEam0XX5Gq9JdfIoLoOJ4bVCs1OUQ_k0ItMT2iMrIl3gUNqnhYeXQDCM3JEik7IDsllZffejhl1g7gT7jJpcazkg7VxQOra4-I_b6ROxNc8E_2rbl5JDqrI8fLnLdlHelWFZebDVK0YVZ0ndZemJPmj3O3peGYRLUGBdrHCIaKHPpyCl8vXeWNh_wFgGibMn6fnkPJW_9T0iuhAC2dC3SqwKF8nxthsu3_GDiNMYUplByiqS5FGRIu1BqQXbL0TYJTwrM84O5aonOLP5CfhSfIgeMP6bTsan_QhUx3__EMjLoXM3Mb59CehFsPFAyIc4P4BrP-uZQq5hOrPUW8ajpeDMEBhQpd52t6f-5fajsE9vRiqyJy2Uz9XVFJaw0-ZfqLjREYtxbG5b7L_SIHOkuCL8FhH80DMIF-Qa4zaXOygtTFgpTD7WftgcnXj-1ubJRosma-8TUTKu7y63OMWLALjzahj7_eFpBI78OoW7ZkYo8ryMzszyWBehT4W0uUxuNMd74jPvKd7IZsnqcXOo-m0RdEjAJet366iXdlOxyQDZFNN8HAsokP_vAXBVHsvbWgcg32TOP6cUAorn1rXcPyokqBrGfjIbu9yQwu5YJfkXEVl7pmD5-W3-stRsda1nOCrrTpFS0KctowiKjeSANU6SjD_612ZMms5HbzVQ4mrghK5sWQoJVwSbeTkZDT5Ory5eLH-PavD_M4FF-uzKBZ-fi1y2Jt0ZMXwKSs_VVfeKfg3krCqNXmpqZtx8W44XDsYDetwd4JeB14gf8SDhQOdRD3w6B81zLAV56nNM1UyJzRFm1i7rcN0OlWYomgnYsv5SU02u_JAmSU1zi5MGI8H1SzouB43u23Hg0xYjMvv8jVD8xQnM43CzR8RAgcUXpkHlGfID6gDrTB-NDfxD8TaGD84QSn0p86EBsClJteY7L7mv-ATpkcUzQc9j_fA3Zy9MNC5kvmqRyLJcAJqyQP15Xy3ICGRucKBVG2fRTBISGRdOpiL7_3O6gvBy3KtaEjvfJkohe7A8E-FqWJ6L9d-073iicppHW5AaIdYejlB2A-PkGBnVGULh-0wv3guNzLSHD8pWgxfT7p2PpewQ43OZQ_agVrXowS8yvBMzCBmuCpALo1Lk-HfqAFn18yihV3RxpSN6OxDWww=\",\"summary\":[]}"},{"type":"text","text":"Perfect โ€” that fills the missing intent. Iโ€™m checking against that list now. Early read: the sidecar stack exists and is healthy, but the actual OpenClaw injection/LCM integration was left unfinished on purpose. Iโ€™ll verify before touching config.","textSignature":"{\"v\":1,\"id\":\"msg_044715aa23543a330169f808b0da448195be0b52807d27e35d\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_RhpmwdAV248oBkuIQfWjTLhU|fc_044715aa23543a330169f808b1be288195ad98801686c4534d","name":"update_plan","arguments":{"plan":[{"step":"Inventory current memory stack state","status":"completed"},{"step":"Run health/smoke checks","status":"completed"},{"step":"Review configs for unsafe/unfinished integration","status":"in_progress"},{"step":"Patch safe helper scripts if needed","status":"pending"},{"step":"Summarize findings and next move","status":"pending"}],"explanation":"Original prompt confirms no reranker, QMD light, compact Mem0 injection, LCM only if compatible, and no risky config edits without backup."}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":26745,"output":252,"cacheRead":3584,"cacheWrite":0,"totalTokens":30581,"cost":{"input":0.133725,"output":0.00756,"cacheRead":0.001792,"cacheWrite":0,"total":0.143077}},"stopReason":"toolUse","timestamp":1777862830437,"responseId":"resp_044715aa23543a330169f808aebadc819597c74990ab89258d"}} {"type":"message","id":"bb3bb15a","parentId":"5365e7e7","timestamp":"2026-05-04T02:47:15.611Z","message":{"role":"toolResult","toolCallId":"call_RhpmwdAV248oBkuIQfWjTLhU|fc_044715aa23543a330169f808b1be288195ad98801686c4534d","toolName":"update_plan","content":[],"details":{"status":"updated","explanation":"Original prompt confirms no reranker, QMD light, compact Mem0 injection, LCM only if compatible, and no risky config edits without backup.","plan":[{"step":"Inventory current memory stack state","status":"completed"},{"step":"Run health/smoke checks","status":"completed"},{"step":"Review configs for unsafe/unfinished integration","status":"in_progress"},{"step":"Patch safe helper scripts if needed","status":"pending"},{"step":"Summarize findings and next move","status":"pending"}]},"isError":false,"timestamp":1777862835506}} {"type":"message","id":"0d56d6e6","parentId":"bb3bb15a","timestamp":"2026-05-04T02:47:21.957Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_lZgD2NrowlaV0ir6V77BdgiE|fc_044715aa23543a330169f808b4a7b0819590f87a9940823025","name":"exec","arguments":{"command":"set -o pipefail\nprintf '== OpenClaw config memory/plugins/context refs ==\\n'\npython3 - <<'PY'\nimport json\np='/home/rurouni/.openclaw/openclaw.json'\nd=json.load(open(p))\nfor k in ['memory','plugins','contextEngine','context','agents']:\n if k in d and k!='agents': print(k, json.dumps(d[k], indent=2)[:3000])\nprint('agent default keys:', sorted(d.get('agents',{}).get('defaults',{}).keys()))\nfor k in ['memory','plugins','contextEngine','context','contextInjection','compaction']:\n v=d.get('agents',{}).get('defaults',{}).get(k,'')\n print('agents.defaults.%s ='%k, json.dumps(v, indent=2)[:3000] if v!='' else v)\nPY\nprintf '\\n== grep qmd/lossless/mem0 in config/logs ==\\n'\ngrep -RInE 'lossless|qmd|mem0|contextEngine|slots|memory\\.backend|relevant_memory' /home/rurouni/.openclaw /data/openclaw-memory/config /data/openclaw-memory/bin 2>/dev/null | head -200 || true\nprintf '\\n== npm global matching qmd/lossless ==\\n'\nnpm ls -g --depth=0 2>/dev/null | grep -Ei 'openclaw|lossless|qmd|mem0' || true\nprintf '\\n== qmd version/search smoke ==\\n'\n/data/openclaw-memory/bin/qmd-light --version 2>&1 || true\n/data/openclaw-memory/bin/qmd-light search 'OpenClaw QMD searchMode BM25' -c openclaw-docs --limit 3 2>&1 | head -80 || true\nprintf '\\n== mem0 compact query smoke ==\\n'\n/data/openclaw-memory/bin/mem0-query 'Raymond memory preferences token budget' 2>&1 | head -120 || true","workdir":"/home/rurouni","yieldMs":1000,"timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":389,"output":498,"cacheRead":30208,"cacheWrite":0,"totalTokens":31095,"cost":{"input":0.0019450000000000001,"output":0.01494,"cacheRead":0.015104,"cacheWrite":0,"total":0.031989000000000004}},"stopReason":"toolUse","timestamp":1777862835614,"responseId":"resp_044715aa23543a330169f808b3e2308195beba13fa45fb9168"}} {"type":"message","id":"2a2061a7","parentId":"0d56d6e6","timestamp":"2026-05-04T02:47:23.377Z","message":{"role":"toolResult","toolCallId":"call_lZgD2NrowlaV0ir6V77BdgiE|fc_044715aa23543a330169f808b4a7b0819590f87a9940823025","toolName":"exec","content":[{"type":"text","text":"Command still running (session keen-valley, pid 71507). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"keen-valley","pid":71507,"startedAt":1777862842095,"cwd":"/home/rurouni","tail":"{\"type\":\"text\",\"text\":\"/usr/lib/node_modules/openclaw/dist/doctor-memory-search-Bril_LLu.js:254:\\t\\t\\t\\tsuggestedRemoteProvider ? `- Switch to a remote provider: ${formatCliCommand(`openclaw config set agents.defaults.memorySearch.provider ${suggestedRemoteProvider}`)}` : `- Switch to a remote embedding provider in config`,\\n/usr/lib/node_modules/openclaw/dist/doctor-memory-search-Bril_LLu.js:316:\\t\\t`- For local embeddings: configure agents.defaults.memorySearch.provider and local model path`,\\n/usr/lib/node_modules/openclaw/dist/memory-embedding-adapter-eBx6Jj3k.js:13:\\t\\tif (!await hasAwsCredentials()) throw new Error(\\\"No API key found for provider \\\\\\\"bedrock\\\\\\\". AWS credentials are not available. Set AWS_ACCESS_KEY_ID/AWS_SECRET_ACCESS_KEY, AWS_PROFILE, or AWS_BEARER_TOKEN_BEDROCK, configure an EC2/ECS/EKS role, or set agents.defaults.memorySearch.provider to another provider.\\\");\\n/usr/lib/node_modules/openclaw/dist/backend-config-B2YXqpz-.js:207:\\tconst mergedExtraCollections = [...params.cfg.agents?.defaults?.memorySearch?.qmd?.extraCollections ?? [], ...agentEntry?.memorySearch?.qmd?.extraCollections ?? []].filter((value) => value !== null && typeof value === \\\"object\\\" && typeof value.path === \\\"string\\\");\\n/usr/lib/node_modules/openclaw/dist/embeddings-http-B5nsrWJy.js:52:\\t\\t\\tlocal: params.memorySearch?.local,\\n/usr/lib/node_modules/openclaw/dist/embeddings-http-B5nsrWJy.js:158:\\tconst configuredProvider = memorySearch?.provider ?? \\\"openai\\\";\\n/usr/lib/node_modules/openclaw/dist/embeddings-http-B5nsrWJy.js:160:\\t\\trequestModel: normalizeOptionalString(getHeader(req, \\\"x-openclaw-model\\\")) || normalizeOptionalString(memorySearch?.model) || \\\"\\\",\\n/usr/lib/node_modules/openclaw/dist/embedding-provider-BCCt6wDL.js:97:\\t\\t\\tpath: \\\"agents.*.memorySearch.remote.apiKey\\\"\\n/usr/lib/node_modules/openclaw/dist/runtime-schema-Dm1YBMh7.js:3824:\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tdescription: \\\"Optional multimodal memory settings for indexing image and audio files from configur"},"isError":false,"timestamp":1777862843376}} {"type":"message","id":"b9570472","parentId":"2a2061a7","timestamp":"2026-05-04T02:47:26.088Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_vIsvBhw5GiEouF4NowfTfCzv|fc_044715aa23543a330169f808bd6584819589a669fc45e33e10","name":"process","arguments":{"action":"poll","sessionId":"keen-valley","timeout":30000,"limit":12000}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":929,"output":34,"cacheRead":30208,"cacheWrite":0,"totalTokens":31171,"cost":{"input":0.004645000000000001,"output":0.00102,"cacheRead":0.015104,"cacheWrite":0,"total":0.020769}},"stopReason":"toolUse","timestamp":1777862843378,"responseId":"resp_044715aa23543a330169f808bbb3788195a2b38b8ea6c3883e"}} {"type":"message","id":"32c43e5c","parentId":"b9570472","timestamp":"2026-05-04T02:47:26.849Z","message":{"role":"toolResult","toolCallId":"call_vIsvBhw5GiEouF4NowfTfCzv|fc_044715aa23543a330169f808bd6584819589a669fc45e33e10","toolName":"process","content":[{"type":"text","text":"\\\\n'\\nfindmnt -no TARGET,SOURCE,FSTYPE,SIZE,USED,AVAIL,OPTIONS /data /models /backup /archive 2>/dev/null || true\",\"workdir\":\"/home/rurouni\",\"yieldMs\":10000,\"timeout\":45}},{\"type\":\"toolCall\",\"id\":\"call_Hz8AAZED9FyrDIryz1lqs49e|fc_02b86be3bb6b669e0169f7f14ea7ec819698eb2579e3966264\",\"name\":\"exec\",\"arguments\":{\"command\":\"printf '=== safe config summary ===\\\\n'\\nnode - <<'NODE'\\nconst fs=require('fs'); const p='/home/rurouni/.openclaw/openclaw.json';\\nconst redact=(k,v)=>/key|token|secret|password|auth|credential/i.test(k)?(v?``:v):v;\\nconst cfg=JSON.parse(fs.readFileSync(p,'utf8'));\\nfunction pick(obj){return JSON.stringify(obj,redact,2)}\\nconsole.log('path',p);\\nconsole.log('topKeys',Object.keys(cfg));\\nfor (const k of ['agents','memory','memorySearch','plugins','gateway','providers','models','context','qmd']) if (cfg[k]) { console.log('\\\\n['+k+']'); console.log(pick(cfg[k]).slice(0,6000)); }\\nconst main=cfg.agents?.main || cfg.agents?.find?.(a=>a.id==='main');\\nif(main){ console.log('\\\\n[agents.main keys]', Object.keys(main)); console.log(pick(main).slice(0,8000)); }\\nNODE\\nprintf '\\\\n=== agents main files ===\\\\n'\\nfind /home/rurouni/.openclaw/agents/main -maxdepth 3 -type f 2>/dev/null | sed 's#^# #' | head -200\",\"workdir\":\"/home/rurouni\",\"yieldMs\":10000,\"timeout\":45}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.5\",\"usage\":{\"input\":2622,\"output\":1003,\"cacheRead\":17920,\"cacheWrite\":0,\"totalTokens\":21545,\"cost\":{\"input\":0.013110000000000002,\"output\":0.030090000000000002,\"cacheRead\":0.00896,\"cacheWrite\":0,\"total\":0.05216}},\"stopReason\":\"toolUse\",\"timestamp\":1777856833789,\"responseId\":\"resp_02b86be3bb6b669e0169f7f1422cb88196a7b9a23c23610444\"}}\n/home/rurouni/.openclaw/agents/main/sessions/18dfbad6-95d5-4459-9c3e-858b6ec6e3f8.jsonl.bak-57453-1777857014318:18:{\"type\":\"message\",\"id\":\"518539f3\",\"parentId\":\"3403a32d\",\"timestamp\":\"2026-05-04T01:07:27.740Z\",\"message\":{\"role\":\"toolResult\",\"toolCallId\":\"call_umuUViB2y75okeQ59XyjAKcC|fc_02b86be3bb6b669e0169f7f14ea7d481969160ada5e9f3275b\",\"toolName\":\"exec\",\"content\":[{\"type\":\"text\",\"text\":\"=== containers ===\\ndocker: /usr/bin/docker\\npodman: nerdctl: \\n=== container services/processes ===\\n containerd.service loaded active running containerd container runtime\\n docker.service loaded active running Docker Application Container Engine\\n 1163 containerd /usr/bin/containerd\\n 1178 dockerd /usr/bin/dockerd -H fd:// --containerd=/run/containerd/containerd.sock\\n 57872 bash /bin/bash --noprofile --norc -c printf '=== containers ===\\\\n' for c in docker podman nerdctl; do printf '%s: ' \\\"$c\\\"; command -v \\\"$c\\\" || true; done printf '\\\\n=== container services/processes ===\\\\n'\\n\\n=== existing data dirs ===\\n\\n=== python/node packages hints ===\\nmem0: False\\nqdrant_client: False\\nfastembed: False\\nsentence_transformers: False\\nโ””โ”€โ”€ openclaw@2026.5.2\"}],\"details\":{\"status\":\"completed\",\"exitCode\":0,\"durationMs\":924,\"aggregated\":\"=== containers ===\\ndocker: /usr/bin/docker\\npodman: nerdctl: \\n=== container services/processes ===\\n containerd.service loaded active running containerd container runtime\\n docker.service loaded active running Docker Application Container Engine\\n 1163 containerd /usr/bin/containerd\\n 1178 dockerd /usr/bin/dockerd -H fd:// --containerd=/run/containerd/containerd.sock\\n 57872 bash /bin/bash --noprofile --norc -c printf '=== containers ===\\\\n' for c in docker podman nerdctl; do printf '%s: ' \\\"$c\\\"; command -v \\\"$c\\\" || true; done printf '\\\\n=== container services/processes ===\\\\n'\\n\\n=== existing data dirs ===\\n\\n=== python/node packages hints ===\\nmem0: False\\nqdrant_client: False\\nfastembed: False\\nsentence_transformers: False\\nโ””โ”€โ”€ openclaw@2026.5.2\",\"cwd\":\"/home/rurouni\"},\"isError\":false,\"timestamp\":1777856847740}}\n/home/rurouni/.openclaw/agents/main/sessions/18dfbad6-95d5-4459-9c3e-858b6ec6e3f8.jsonl.bak-57453-1777857014318:21:{\"type\":\"message\",\"id\":\"5ac31fa7\",\"parentId\":\"0e99cf79\",\"timestamp\":\"2026-05-04T01:07:36.988Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"\",\"thinkingSignature\":\"{\\\"id\\\":\\\"rs_02b86be3bb6b669e0169f7f150f7b08196972cea51016fdaf9\\\",\\\"type\\\":\\\"reasoning\\\",\\\"encrypted_content\\\":\\\"gAAAAABp9_FY2vKSLhBlCzE89Co7jyBy60RUpYwQKo2GlSMUFRMf1mzMsUylJLDDJZExILpK68yMzyUv-SomZvZyqXUBchA1B0-mvoUEE804iYDsOR85rSeV_hpSg9hsFZo16PfSBQeMAuN-dNyteXrsovgmLscfDQxJSMZbUlpojELHhT6Wc2bsD4jPxk3e1bJ5cfrSFzAJ9wPfqxIXW5ugqLBMt1sdVpn5vJbSy12zOFxYckFQGXvVmOFIUMqcMjP4a4ID2X-xJREHLl9-14QKs1fQ_-9-C5xqdER7wGqqaStLpOYwvvkTe1FdoiEBYisGxaE7zrhvIZuF6-n4KvVI9JNqoddURTlopr2zuE2nhOEDwKowTv63ZcXhhKEuFDJa8MEHE9gndkx-yljF0gqBgUdXHVhY21zpJoZv-oI6VBKU3earwRZtwIkN8dCTBDurFvFZa-ReOjEMKNyyYmusRVIrVPbPV9E1WGl6bJk5823NaRMktERe1B4lSl8e8rbSjEszl6O-DrVfjSgKvG6MH7gG3sQGM11aKLHMVnae5Rp571PVA-sZEYyp3qEU2oaJpB5aR1MpjYRXyMhTBEF6voogRutgSUHnmrllzROoNOFZsWZzZLVWiabs2AxH007y-gQaTB9wJqGqAWSBUQeKX7tG9NN-0igoXXuWpRUYpiQ1Z6FnSuKUygva33IdG_9rS-o09s3Cv8_xsi6aPLSx_0qi4cMKHqnEcRr6YNRrIbA3jPzMXBOCdcKs_shPxu7XhBjVSG7NF1oZUwPzrQKjECvcjk8yve2JeZMCf5Kg8U7yTcfN65My0a8768eZfoTb-gsjAl9OcCI2sQ7uIDNTyr9vyBgAIaaVlJKpT53zYAJT1PaIrdhQ-hUTIdX9Y-GO46GiA7J1d7u5DrqFN44pcgTO3tEJXlESbmg8Spe4dDhWQiZWR77KVC2G5vWs5C7qUfLpkvp5WEH51TVPtYF03X76eY6Y2WlKIH_BBzf-LjJ_WuVljXYTxS_9NkdjmCxW6bb75nlUQCy2Dy1ywuf0O4S8ydSxnkelsYA6LPbS6gvWaqTLGaC-8YmCRtYE_-GeJKXAqoTLPmPJGCR1ajTqpgvV5YaOKVYvdN0avb9KEWW38UZGSVC0A3aZf0XxT_KN-phBLurD\\\",\\\"summary\\\":[]}\"},{\"type\":\"toolCall\",\"id\":\"call_Ic68s58rHIck3giaX4MkS36O|fc_02b86be3bb6b669e0169f7f158ccf8819697ea4013769bdc49\",\"name\":\"exec\",\"arguments\":{\"command\":\"printf '=== plugins installs ===\\\\n'\\nnode - <<'NODE'\\nconst fs=require('fs'); for (const p of ['/home/rurouni/.openclaw/plugins/installs.json','/usr/lib/node_modules/openclaw/package.json']) { if(fs.existsSync(p)){ console.log('\\\\n'+p); const j=JSON.parse(fs.readFileSync(p,'utf8')); console.log(JSON.stringify(j,null,2).slice(0,10000)); } }\\nNODE\\nprintf '\\\\n=== openclaw help memory/qmd ===\\\\n'\\nopenclaw memory --help 2>&1 | sed -n '1,220p'\\nprintf '\\\\n--- qmd help? ---\\\\n'\\nopenclaw qmd --help 2>&1 | sed -n '1,220p' || true\\nprintf '\\\\n=== docs mentioning mem0/lcm/lossless ===\\\\n'\\ngrep -RInE 'mem0|qdrant|lossless|LCM|Lossless|compaction|QMD|qmd' /usr/lib/node_modules/openclaw/docs /usr/lib/node_modules/openclaw/dist 2>/dev/null | head -200\",\"workdir\":\"/home/rurouni\",\"yieldMs\":10000,\"timeout\":60}},{\"type\":\"toolCall\",\"id\":\"call_OwLAyjuQByYIOHCa7SV7tdgr|fc_02b86be3bb6b669e0169f7f158cd0481969436af0d2e1340f3\",\"name\":\"exec\",\"arguments\":{\"command\":\"printf '=== local root files sizes ===\\\\n'\\nfor f in /home/rurouni/MEMORY.md /home/rurouni/AGENTS.md /home/rurouni/SOUL.md /home/rurouni/USER.md /home/rurouni/IDENTITY.md /home/rurouni/HEARTBEAT.md; do [ -f \\\"$f\\\" ] && wc -l -c \\\"$f\\\"; done\\nprintf '\\\\n=== memory markdown files ===\\\\n'\\nfind /home/rurouni/memory -maxdepth 3 -type f \\\\( -name '*.md' -o -name '*.txt' \\\\) -printf '%s %p\\\\n' 2>/dev/null | sort -nr | head -100\\nprintf '\\\\n=== openclaw memory sqlite ===\\\\n'\\nls -lh /home/rurouni/.openclaw/memory/main.sqlite 2>/dev/null || true\\nsqlite3 /home/rurouni/.openclaw/memory/main.sqlite '.tables' 2>/dev/null || true\",\"workdir\":\"/home/rurouni\",\"yieldMs\":10000,\"timeout\":45}},{\"type\":\"toolCall\",\"id\":\"call_nf5lPp7O7OZnbyn1IvY6Or53|fc_02b86be3bb6b669e0169f7f158cd10819682d61883ac8b233b\",\"name\":\"exec\",\"arguments\":{\"command\":\"printf '=== docker containers/images/volumes relevant ===\\\\n'\\ndocker ps -a --format 'table {{.Names}}\\\\t{{.Image}}\\\\t{{.Status}}\\\\t{{.Ports}}' 2>/dev/null | sed -n '1,100p' || true\\nprintf '\\\\nimages:\\\\n'\\ndocker images --format 'table {{.Repository}}\\\\t{{.Tag}}\\\\t{{.ID}}\\\\t{{.Size}}' 2>/dev/null | grep -Ei 'qdrant|mem0|openclaw|qmd|lossless|lcm|REPOSITORY' || true\\nprintf '\\\\nvolumes:\\\\n'\\ndocker volume ls 2>/dev/null | grep -Ei 'qdrant|mem0|qmd|openclaw|lossless|lcm' || true\",\"workdir\":\"/home/rurouni\",\"yieldMs\":10000,\"timeout\":45}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.5\",\"usage\":{\"input\":14381,\"output\":823,\"cacheRead\":19968,\"cacheWrite\":0,\"totalTokens\":35172,\"cost\":{\"input\":0.07190500000000001,\"output\":0.02469,\"cacheRead\":0.009984,\"cacheWrite\":0,\"total\":0.10657900000000001}},\"stopReason\":\"toolUse\",\"timestamp\":1777856847746,\"responseId\":\"resp_02b86be3bb6b669e0169f7f15007bc819687562b45fb7bffa2\"}}\n/home/rurouni/.openclaw/agents/main/sessions/18dfbad6-95d5-4459-9c3e-858b6ec6e3f8.jsonl.bak-57453-1777857014318:25:{\"type\":\"message\",\"id\":\"3822591e\",\"parentId\":\"e7bd3903\",\"timestamp\":\"2026-05-04T01:07:54.094Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"\",\"thinkingSignature\":\"{\\\"id\\\":\\\"rs_02b86be3bb6b669e0169f7f163c2208196b77f59d8d1ee3dbc\\\",\\\"type\\\":\\\"reasoning\\\",\\\"encrypted_content\\\":\\\"gAAAAABp9_FpRYpfRCbgwuw3s6Ai5IMfnR2SNJnJ6rhZSYKdsOAffKfw47Uf70Rzr6r-BtcGh2NVqN-h9SeTUpgdYc5DmfUcxtkHen_tGTau_pyeLdYE428Pu8jvRPnnNBwi_F4Xx3krcRoa-Du7ycA_808psRuNqaW6uvWgm94n2foAfwTIcHhjoY2969S0dLTK9WGi9F_f2R2AnIyttwq1QxZMJ3uKxpdsxnito922b_wNnFzbFHmM22yZG29NwXf3v5bL9l9g85f7wQD3qGYXPBFy6DEOduwRlmv_jTxN67TSulaQtXWoAeqQWKqE7GJQ303vyHT88HOEOb1o-mkk7m3L2QS-q-xTjdBfBL_2EQdcVEL774pDL8DuUh0v4KKRBA9VJiGyLrG38u_WjmeMEPI8a-LONHV-nRcpg5_roCZ7ks3ROKFrn_U38jcPkh9iQoEJk0tNcIspkvwNMpti66KM-Ap0GTkFlmoupFcFBbJM-Kyw7Lw3emAnsNO_s1lZf6kLuUUSSKNbSR1lXz5xKCbUJaiK6gLwK7qriPnGiImY06ugg16Ukoi5Ijqs1N3hY6spmKUL7Unw1respvPY_ZhSZh6VQggGl4gdlXFPZZRUW0O7wRc7M4fR5ztXD0mI8DzRT8Sggjv65r3TiguNDF9GLRFTHNbCy81Uaq51j-1ZVk4-C5g1RaJXwzeuBsqyEnNvrEDAJAjWarxvKFOKkDZTMRQiqF_5das93M-EWYAx2cvkY--6wAj1zG6i-KCVFhXRf4JlYpSIIOt9p9fmg-QG-QJvIc6va4vpSUr8gx_VUk1ptGD81D_gWc7xmkgmDtZi2UpLHI47YF2a0vHVkaHNpDWiaF7KGFIxAM5l9ideNw6taCacsHO_AJc4XLXwtc-uOw9DoH2Wvy9vY5e3xBZ76_0MSp2pG9DnjD8pEYOc0303q3Sq89IxuZlltfw9boWSdXwEaC6NmjWssSSKjzW3GLSSgQ2DrfG8PRkw0UtiUrVr8w6UtlAIXl5CMgWjuR_X2EZnxdAIKvf3i53vRjpLgWj5dbKRkiulaqCvpdQpGwO_zxYSozzYWP-kdAVnSAh-c2qsSazs88LBUi4bHyoOrnHdWEuwM5kuwK8M4UW0NjBUflyhBky9BepCyQv4iaaQmH_1OugTJ4Y4jnKqXsyNReRhGL4DcLF6VxD2Li5r3VIQ8EK5Vxy7T834-9fAlD3E45HzlkJwx3S2wnCn1KUNxGOYJ60ZLE2xxMiuOYtaKmXLmIf1WBJymxx5sO3xetxJCQzTGH7-LYvrZ_YEq6aJyluC_ath-dIsSXreFtMLNDaJtHsUBTgTQTj7PdqJKEDMqbQ7dOL21nqDba3IR7RyRIHxsW3CQio31kQanAAfmpsNGkt1zjlZZtqIPeOm3EfjK8Kbu7XMzIHfVK10vqfp-sFw2APSk3r9eDSqS4UqJQsJxWk-t4o07y4aLYyiKSWIiGyh6uW8Dv7t7eNxEEtOVRMN4hLq705zPuxql7p37e7uFiZpOqRCeK2cIlkCpj7IojqkDvStYu8PSb7VSPa_qqJIMsULLg65rO_U7DAEDvAKBPNdu1lGRgg7c40sYtfUxL7Xcw695hcaMF2XTJvNfs494LX4lS3N0Sm3Lu__URP01dmvMA9jKF-wcXH2UKHcuLTiQ6bH0YviU-A28YjOncZBPICZMRE3T6ldj_RuD4BGafEloNjL9E8PBUjk1jE-_64q9AUdbYiu52FNs6ZLsXRFFXPXLFt1IAKdThnibrgcNF9xTQPAJ_0ESX58gMQsTg1jOg2Y9ztpYjikIHQjNJ_3sLYvfWBrORT6pm3Rk00naFh8ZoZCiubkltuv5hnCEFn1PBTMOnHU0x8yRJPcu0pn4r7x_PCFT72sxZv4Sb-8aw4PPWOeNWChhwElPm4MNSIp\\\",\\\"summary\\\":[]}\"},{\"type\":\"toolCall\",\"id\":\"call_WvcmtG7FQPPqLksfk2r2FTng|fc_02b86be3bb6b669e0169f7f1697614819697eac93eb97bc3a3\",\"name\":\"read\",\"arguments\":{\"path\":\"/usr/lib/node_modules/openclaw/docs/concepts/memory-qmd.md\",\"offset\":1,\"limit\":180}},{\"type\":\"toolCall\",\"id\":\"call_oZ8IzEYwltZPOWM21mZpWkvb|fc_02b86be3bb6b669e0169f7f16976208196905460849e0879ae\",\"name\":\"read\",\"arguments\":{\"path\":\"/usr/lib/node_modules/openclaw/docs/concepts/context-engine.md\",\"offset\":20,\"limit\":80}},{\"type\":\"toolCall\",\"id\":\"call_9IlgDdt4NQBJDCWTnOSyNXz7|fc_02b86be3bb6b669e0169f7f169762c819680c4e879ba92bc7e\",\"name\":\"read\",\"arguments\":{\"path\":\"/usr/lib/node_modules/openclaw/docs/plugins/community.md\",\"offset\":60,\"limit\":25}},{\"type\":\"toolCall\",\"id\":\"call_Mdga7jSDnjJcgxkAusS8Mv05|fc_02b86be3bb6b669e0169f7f169763481968fff0382bfc8e4c3\",\"name\":\"read\",\"arguments\":{\"path\":\"/usr/lib/node_modules/openclaw/docs/gateway/config-agents.md\",\"offset\":130,\"limit\":90}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.5\",\"usage\":{\"input\":17643,\"output\":336,\"cacheRead\":33792,\"cacheWrite\":0,\"totalTokens\":51771,\"cost\":{\"input\":0.088215,\"output\":0.01008,\"cacheRea\n\nโš ๏ธ [... middle content omitted โ€” showing head and tail ...]\n\n contextLimits: {\\n memoryGetMaxChars: 12000,\\n memoryGetDefaultLines: 120,\\n toolResultMaxChars: 16000,\\n postCompactionMaxChars: 1800,\\n },\\n },\\n },\\n}\\n```\\n\\n- `memoryGetMaxChars`: default `memory_get` excerpt cap before truncation\\n metadata and continuation notice are added.\\n- `memoryGetDefaultLines`: default `memory_get` line window when `lines` is\\n omitted.\\n- `toolResultMaxChars`: live tool-result cap used for persisted results and\\n overflow recovery.\\n- `postCompactionMaxChars`: AGENTS.md excerpt cap used during post-compaction\\n refresh injection.\\n\\n#### `agents.list[].contextLimits`\\n\\nPer-agent override for the shared `contextLimits` knobs. Omitted fields inherit\\nfrom `agents.defaults.contextLimits`.\\n\\n```json5\\n{\\n agents: {\\n defaults: {\\n contextLimits: {\\n memoryGetMaxChars: 12000,\\n\\n[1186 more lines in file. Use offset=220 to continue.]\"}],\"isError\":false,\"timestamp\":1777856874118}}\n/home/rurouni/.openclaw/agents/main/sessions/18dfbad6-95d5-4459-9c3e-858b6ec6e3f8.jsonl.bak-57453-1777857014318:30:{\"type\":\"message\",\"id\":\"cffe2ba5\",\"parentId\":\"ef727a58\",\"timestamp\":\"2026-05-04T01:07:56.299Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"\",\"thinkingSignature\":\"{\\\"id\\\":\\\"rs_02b86be3bb6b669e0169f7f16b918081968a20cbc38bc090f1\\\",\\\"type\\\":\\\"reasoning\\\",\\\"encrypted_content\\\":\\\"gAAAAABp9_Fro4LmxMMU0lNgUynF7ARJdQK34Xigl7eaFvUjz0Hr1PTOZalxUzM_t4S7xRPASkWQjL6-ZSag8G5ioc7DglwU19UIlfdvLvElLRixLKtCA8i7vk2QFgXFAtO8piOUVny9HkhD-On8sWHSr3TZMzVchpdwW7YWdRcoPEpbvMZe4u-7AHoKd0B9AEt7fUIpdR4gZaE_nHWe4j7RL-xu0vwT9jayIEnXVE66eOfDQieATHBMJ5iZLCDGWKL7EwOzriBs-zmF2gDTBGECKTr_2kjHOyepxFxLH9gyig6ZXYooq2G5aSc69kek9HzQhnKUnMjy9cS7xJD7AgdAST0_dq1l7SL84GmPQA2uCtSm74T7_pvXFGJrUZUri2Ub90AYRJpNP9KgQaaaQooDdRwjOod_eNH-i3FVq_z3VA5WtWRYaQjsL59Zfv76sZybiZqx9--yEp0D8BrdMJzAqJcbSC0SyE-JX3tfH49stwh1RMif0PNfnIq3YeEuOyJ73uGl9LCT9IirwZ0d-udyC3CK50jV05RkoMvxwfNYDR9ZvhfRZicCD-UiqUCD4nAJ5YYP-ib1rnamGI7bokKzZKdTTO89td5Mwb-sOdyFXkjUYB1hhBrjmYMvZ-Vf9LPsK_EQPDP61wVKAouzlCZCBBnD6PYs5RVifiayoykWVNZBvy8TcP-3NgFXQbLT4f6vCmbgELH2bJybYzx-WkY3EYqFqDdtHWjHf2WBu15ch81cNi5WB5Mmd5PyuBGhpw1fkPfrnRTDM4_Kptgby9pfLjHulCaVbYMCIJ2cHLcWzwZ5x-tpXPxnQ13DmLVRGcF-hEzul3WwaMzNTbU2KxsI6yh2yGAc6jIS0HtaHs89guXq-DI0g4NlSDmcCrJAAvv0k-rSwJZmwXESU4ORxnCImZGFFTYoStd2xHB58uS7BtfG6bp-iUHa5HO7rEKAm59BKTTnL936\\\",\\\"summary\\\":[]}\"},{\"type\":\"toolCall\",\"id\":\"call_880az4fSU1pdQEMJCreyGzn0|fc_02b86be3bb6b669e0169f7f16bcdc881969d55addfef83713e\",\"name\":\"read\",\"arguments\":{\"path\":\"/usr/lib/node_modules/openclaw/docs/concepts/memory-qmd.md\",\"offset\":181,\"limit\":130}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.5\",\"usage\":{\"input\":3638,\"output\":53,\"cacheRead\":51200,\"cacheWrite\":0,\"totalTokens\":54891,\"cost\":{\"input\":0.01819,\"output\":0.00159,\"cacheRead\":0.025599999999999998,\"cacheWrite\":0,\"total\":0.045380000000000004}},\"stopReason\":\"toolUse\",\"timestamp\":1777856874125,\"responseId\":\"resp_02b86be3bb6b669e0169f7f16a6e04819686b51ddfc5033238\"}}\n\n== npm global matching qmd/lossless ==\nโ””โ”€โ”€ openclaw@2026.5.2\n\n== qmd version/search smoke ==\nqmd 2.1.0\nqmd://openclaw-docs/reference/memory-config.md:488 #99624a\nTitle: Provider selection\nScore: 95%\n\n@@ -487,4 @@ (486 before, 141 after)\n\n`searchMode: \"search\"` is lexical/BM25-only. OpenClaw does not run semantic vector readiness probes or QMD embedding maintenance for that mode, including during `memory status --deep`; `vsearch` and `query` continue to require QMD vector readiness and embeddings.\n\nOpenClaw prefers current QMD collection and MCP query shapes, but keeps older QMD releases working by trying compatible collection pattern flags and older MCP tool names when needed. When QMD advertises support for multiple collect...\n\n== mem0 compact query smoke ==\nusage: mem0-query [-h] {add,search,list} ...\nmem0-query: error: argument cmd: invalid choice: 'Raymond memory preferences token budget' (choose from add, search, list)\n\nProcess exited with code 0.[... 14065 more characters truncated]"}],"details":{"persistedDetailsTruncated":true,"originalDetailsBytesAtLeast":8193,"originalDetailKeys":["status","sessionId","exitCode","aggregated","name"],"status":"completed","sessionId":"keen-valley","name":"set pipefail","exitCode":0},"isError":false,"timestamp":1777862846848}} {"type":"message","id":"a3196b05","parentId":"32c43e5c","timestamp":"2026-05-04T02:47:31.085Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f808c0d8ec8195b33b6b1d274cc616\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-AjCRT5pr5ddVZWDCBizu7LriqPvTrqpZbDf8nNpTXMIuPz0qt5SfkxMltEUR0pAqx5_XScyHDzHeCWEcqFBGxReS3HZdmlX7ZlRRy2IFGC3YmC_eOg9eznd5yWLxxZONMvQv8q8TQ3ZNjGZpYDH6dxcuYs_P8M1wJB7ETOJeoGJjoWezCx8rqMKlpk3rmqtou_9VCce9oK1unzYD4_Un7AEEQMjn72sxbcNREQ1rmKU2X-59bH0eBFVoGjhfUdXbTKYIWk0P_uDTQH72TMS3tds4-gPLhut0A4IP5KY24JlIBo8FcMJx_TRAPUn_XQyzcBNka2md3nzT3TQzDqqXD5XeKV8lz72INAz2UUUUVqbkk_e8pZhHWvy5aHAv5vwXDDPt18htjeuOY-EJazjNpArTUFV62FT62rbJiFHi8-exfevZtXHNmNVKDnnWLPCXe00htas9hDxiAzLsb_tUc8PRy0w303uLBNdKTvpVmbWs317oaFqlHiJdP0iCMvqUNbYyH_-bb96cL4Jmd9PlDj6_mglggagIRqgwEa0srIhGjMxMelQxBhjmaQXpxK8GowXMn3Vwj-ssEuGXcW9xr0HztLho16Fffe590J5keS9uAy6yVwUaxNpxf2M5Sjdfcm4l5qqnDDHFO3EpX2Z9-WIj02R3rxT2nSmjE2jlcnjvi0KyIerbT8TEGj3F4OKB5HU1SWhVbgqkGpuL8OBx3njq0LLh4QwMML3HvAOARchxVZipsKVbDU3trFHeMeKUmA04Za4B7hdcmOvDOUazb99SAznKyrrkZEjIYcFtqxyoEh_lCKdWBlatD9ARGR5woGPWDg7_YzRXkUVxO_NJTvdjY1NirXJD7ayH_T_r-ok2g9fYbr7Bw_xxczVXJGIbwiKsf8O2NZVpZcin6W_Sy5DlA_8DV5MYFyFG5akmqnKE85zHcvCf_DGC4e3uaf1k_lvpIlFo9vQsFL0IEq7hcdN4mOb2qyy3dABwWl7geVqq18gOXVjrOGEv68dk7EPor4nME-KKBG09SPyFCUbetjpyMgjuQpUcFDORsHSNkKvTlXJ33d4iOlMCnEm9AfvQWS0eoM3sRqgocXQGkkujk38_M1nL0LlMtPKmJODsWLilD64k4rLJS3QNEoiqa6_r0MmlnukH6sLDO87GCR2iYZWiw==\",\"summary\":[]}"},{"type":"toolCall","id":"call_91w8aRSUOwt6cdsJfoKqmCMV|fc_044715aa23543a330169f808c2eab88195a320793f40648b34","name":"read","arguments":{"path":"/data/openclaw-memory/bin/mem0-query","limit":240}},{"type":"toolCall","id":"call_Z4onOt7mfSAz1arJLr0YoUYn|fc_044715aa23543a330169f808c2eac88195951c725abe5e80a3","name":"read","arguments":{"path":"/data/openclaw-memory/bin/backup","limit":260}},{"type":"toolCall","id":"call_OlWEopilVNSZj0020nATSUqB|fc_044715aa23543a330169f808c2ead081958b8865a10d822a58","name":"read","arguments":{"path":"/data/openclaw-memory/bin/status","limit":220}},{"type":"toolCall","id":"call_qqHfqCYIc2EDfQ6yc1wim736|fc_044715aa23543a330169f808c2ead88195bdd641e32228bf18","name":"read","arguments":{"path":"/data/openclaw-memory/bin/fix-permissions","limit":180}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":11118,"output":165,"cacheRead":30720,"cacheWrite":0,"totalTokens":42003,"cost":{"input":0.05559000000000001,"output":0.00495,"cacheRead":0.015359999999999999,"cacheWrite":0,"total":0.07590000000000001}},"stopReason":"toolUse","timestamp":1777862846853,"responseId":"resp_044715aa23543a330169f808bf2688819586b23bdd32b09257"}} {"type":"message","id":"82647214","parentId":"a3196b05","timestamp":"2026-05-04T02:47:31.736Z","message":{"role":"toolResult","toolCallId":"call_91w8aRSUOwt6cdsJfoKqmCMV|fc_044715aa23543a330169f808c2eab88195a320793f40648b34","toolName":"read","content":[{"type":"text","text":"#!/data/openclaw-memory/mem0/venv/bin/python\nimport os, sys, json, argparse\nos.environ.setdefault('CUDA_VISIBLE_DEVICES','')\nos.environ.setdefault('HF_HOME','/data/openclaw-memory/cache/hf')\nos.environ.setdefault('TRANSFORMERS_CACHE','/data/openclaw-memory/cache/hf')\n# Keep Mem0 fully local; prevent inherited hosted provider keys from hijacking tests.\nos.environ.pop('OPENROUTER_API_KEY', None)\nos.environ['OPENAI_API_KEY']='local'\nos.environ['OPENAI_BASE_URL']='http://127.0.0.1:8081/v1'\nfrom mem0 import Memory\nimport yaml\n\nCONFIG='/data/openclaw-memory/config/mem0-config.yaml'\n\ndef memory():\n return Memory.from_config(yaml.safe_load(open(CONFIG)))\n\ndef main():\n p=argparse.ArgumentParser()\n sub=p.add_subparsers(dest='cmd', required=True)\n a=sub.add_parser('add'); a.add_argument('text'); a.add_argument('--user-id', default='raymond'); a.add_argument('--category', default='project_fact'); a.add_argument('--tag', action='append', default=[])\n s=sub.add_parser('search'); s.add_argument('query'); s.add_argument('--user-id', default='raymond'); s.add_argument('--limit', type=int, default=5)\n l=sub.add_parser('list'); l.add_argument('--user-id', default='raymond'); l.add_argument('--limit', type=int, default=20)\n args=p.parse_args(); m=memory()\n if args.cmd=='add':\n meta={'category':args.category,'tags':args.tag}\n print(json.dumps(m.add(args.text, user_id=args.user_id, metadata=meta), indent=2, default=str))\n elif args.cmd=='search':\n res=m.search(args.query, filters={'user_id': args.user_id}, limit=args.limit)\n print(json.dumps(res, indent=2, default=str))\n elif args.cmd=='list':\n res=m.get_all(filters={'user_id': args.user_id}, limit=args.limit)\n print(json.dumps(res, indent=2, default=str))\nif __name__=='__main__': main()\n"}],"isError":false,"timestamp":1777862851735}} {"type":"message","id":"d3002a6f","parentId":"82647214","timestamp":"2026-05-04T02:47:31.736Z","message":{"role":"toolResult","toolCallId":"call_Z4onOt7mfSAz1arJLr0YoUYn|fc_044715aa23543a330169f808c2eac88195951c725abe5e80a3","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env bash\nset -euo pipefail\nstamp=$(date +%Y%m%d-%H%M%S)\ndest=\"/backup/openclaw-memory/stack-$stamp\"\nmkdir -p \"$dest\" \"$dest/qdrant-snapshots\" \"$dest/config\" \"$dest/scripts\" \"$dest/openclaw\" \"$dest/qmd\" \"$dest/mem0\"\ncp -a /data/openclaw-memory/config/. \"$dest/config/\"\ncp -a /data/openclaw-memory/bin/. \"$dest/scripts/\"\ncp -a /home/rurouni/.openclaw/openclaw.json \"$dest/openclaw/openclaw.json\"\ncp -a /home/rurouni/MEMORY.md /home/rurouni/AGENTS.md /home/rurouni/SOUL.md /home/rurouni/USER.md /home/rurouni/IDENTITY.md \"$dest/openclaw/\" 2>/dev/null || true\ncp -a /data/openclaw-memory/mem0/service.py /data/openclaw-memory/config/mem0-config.yaml \"$dest/mem0/\"\ncp -a /data/openclaw-memory/mem0/history.db* \"$dest/mem0/\" 2>/dev/null || true\ncp -a /data/openclaw-memory/qmd/cache/qmd/index.sqlite \"$dest/qmd/index.sqlite\" 2>/dev/null || true\ncollections=$(curl -fsS http://127.0.0.1:6333/collections | python3 -c 'import json,sys; print(\" \".join(c[\"name\"] for c in json.load(sys.stdin)[\"result\"][\"collections\"]))')\nfor c in $collections; do\n name=$(curl -fsS -X POST \"http://127.0.0.1:6333/collections/$c/snapshots\" | python3 -c 'import json,sys; print(json.load(sys.stdin)[\"result\"][\"name\"])')\n curl -fsS \"http://127.0.0.1:6333/collections/$c/snapshots/$name\" -o \"$dest/qdrant-snapshots/$c-$name\"\ndone\n( cd /data/openclaw-memory && tar --warning=no-file-changed --ignore-failed-read -czf \"$dest/openclaw-memory-config-files.tar.gz\" config bin mem0/service.py qmd/config qmd/cache/qmd/index.sqlite 2>/dev/null || true )\n( cd \"$dest\" && find . -type f -print0 | sort -z | xargs -0 sha256sum > SHA256SUMS.txt )\nln -sfn \"$dest\" /backup/openclaw-memory/latest\necho \"$dest\"\n"}],"isError":false,"timestamp":1777862851736}} {"type":"message","id":"fae8b318","parentId":"d3002a6f","timestamp":"2026-05-04T02:47:31.736Z","message":{"role":"toolResult","toolCallId":"call_OlWEopilVNSZj0020nATSUqB|fc_044715aa23543a330169f808c2ead081958b8865a10d822a58","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env bash\nset -u\nprintf '%s\\n' '== OpenClaw memory stack status =='\nprintf '\\n[dirs]\\n'\nls -ld /backup/openclaw-memory /archive/openclaw-memory /data/openclaw-memory /models/embeddings 2>&1 || true\nprintf '\\n[qdrant]\\n'\ndocker ps -a --filter name=openclaw-qdrant --format 'table {{.Names}}\\t{{.Status}}\\t{{.Ports}}' 2>&1 || true\ncurl -fsS http://127.0.0.1:6333/readyz 2>&1 || true\nprintf '\\n[mem0]\\n'\nsystemctl --user --no-pager --full status openclaw-mem0.service 2>&1 | sed -n '1,28p' || true\ncurl -fsS http://127.0.0.1:8765/health 2>&1 || true\nprintf '\\n[qmd]\\n'\n/data/openclaw-memory/bin/qmd-light status 2>&1 | sed -n '1,45p' || true\nprintf '\\n[openclaw]\\n'\nopenclaw gateway status 2>&1 | sed -n '1,35p' || true\n"}],"isError":false,"timestamp":1777862851736}} {"type":"message","id":"129e83e2","parentId":"fae8b318","timestamp":"2026-05-04T02:47:31.739Z","message":{"role":"toolResult","toolCallId":"call_qqHfqCYIc2EDfQ6yc1wim736|fc_044715aa23543a330169f808c2ead88195bdd641e32228bf18","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env bash\nset -euo pipefail\nsudo mkdir -p /backup/openclaw-memory /archive/openclaw-memory /data/openclaw-memory /models/embeddings/Qwen3-Embedding-0.6B\nsudo chown -R rurouni:rurouni /backup/openclaw-memory /archive/openclaw-memory /data/openclaw-memory /models/embeddings\nfind /backup/openclaw-memory /archive/openclaw-memory /data/openclaw-memory /models/embeddings -type d -exec chmod u+rwx,g+rx {} +\nfind /backup/openclaw-memory /archive/openclaw-memory /data/openclaw-memory /models/embeddings -type f -exec chmod u+rw,g+r {} +\necho 'permissions ok'\n"}],"isError":false,"timestamp":1777862851736}} {"type":"message","id":"a9a0ca7f","parentId":"129e83e2","timestamp":"2026-05-04T02:47:39.480Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f808c4d5948195bc61e2e023a162aa\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-AjF37JekikHjmeBMM9EJLPDx-0c70kU-xzjKvRz5VK59dzVcr4532vR7HIYov7qYUi7A25flJvPT768O04TfZHbZ1mBlEh21ZNZjW5dAd1-xWvSseDlDTKmHhRq7CAGyvGPRVhwZeyCfD65Rs9Sq7H7GrranQL5MY3HJybDcblo-t6Zo5PzLUrDWM-tFGdnaXYF8F6H5GfkWlTPCA0Cff38Avv8n-oHoeDgfVglOlBbzPBMaDtz92eqUsXAEGVVlzELucaD9jrJm6CjKXQDhrV3grxPFk3xclYoNifoSEmBUfddkm9KX8fw2GN_xZ_81eQzfA27okYt6LzLVvMMZLsNiWinBwCWEJlTk2HnslEbnGZ56KuUXlTVJdjOOIVef5ywKWrmCNQc2H_86qtckrX8_kQNV4lgfqTifSXL5_JQBA0tc7n-izamHq72dBApRUumqwiL43p00zi3l1B8ahjdx_4-g7-OUOBSe1ud3vAyXTTu3ae91LpJh2o-ZcUvVhi9-IJNxZ3dlJwy4IRxunI3nNwfDKvqRfWfXFqG6_cfIPa0tulzqjAr4QUWg-xq9mxgYRbccoFJCJpVbTAtzawqrXuEJK0412LE1Ecqfa84n-sHDoz1rAeRDLJMbI6k7DF87xiqbeCZ6DZmwT190kbtYQZgLbwZAMFxudEDQ4EEX0YDEzKEIAnxgYbRUEycrHnuCuRUiZGHE1oJdXah3DeYt1Ju-1626TOtxmsY8Wk4tUXzH5Gbn-X7UqGE0iNoqm-KKrFMIeT-AYjKGeM_ZaFJ8PxDO6clUhzFJ27EdRCNSJeVG8qd3JfmHDixcbpuFxrPBPhFat5I4jGzi4nsYwI-JaLr1jmsOqV081znx9aiMsIZMC7XJsnZjYVReLqwO_Hygl3-LZ_Ky_DBScQADrC_zNRgA99pPrRRp394pJ9uqqDERSVykk6K07UJoFVQFqMfmWkvijM3NX74Glhy340LVGqwgrxgsFAnzdI0Ncwj5QLz37hQ-JoPULXAzUVX8QSO4-pmIENqBdRzxhzU1clnXpldft9RZe8rA8N8dnE-Yk65t3Cc45gCTnHihax-UWuQSGyD91UwNBWvvaWrnPAKR_FfZaNxWFFzpaflniN9qRU=\",\"summary\":[]}"},{"type":"toolCall","id":"call_2yhJcKyXUuoqmgl6IUO50B3s|fc_044715aa23543a330169f808c5d0d08195800194f5e0f27dd5","name":"exec","arguments":{"command":"set -o pipefail\nprintf '== plugin installs config ==\\n'\nfor f in /home/rurouni/.openclaw/plugins/installs.json /home/rurouni/.openclaw/plugins/registry.json; do [ -f \"$f\" ] && { echo \"$f\"; python3 - </dev/null | sort\nnode - <<'NODE'\nconst fs=require('fs'); const p='/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/package.json'; if(fs.existsSync(p)){const j=JSON.parse(fs.readFileSync(p,'utf8')); console.log(JSON.stringify({name:j.name,version:j.version,main:j.main,exports:j.exports,openclaw:j.openclaw},null,2));}\nNODE\nprintf '\\n== OpenClaw config selected plugin keys sanitized ==\\n'\nnode - <<'NODE'\nconst fs=require('fs'); const p='/home/rurouni/.openclaw/openclaw.json'; const cfg=JSON.parse(fs.readFileSync(p,'utf8'));\nfor (const path of ['plugins','memory','agents.defaults.startupContext','agents.defaults.contextLimits']) {\n const v=path.split('.').reduce((o,k)=>o&&o[k],cfg); console.log(path, v===undefined?'':JSON.stringify(v,null,2));\n}\nNODE\nprintf '\\n== mem0 relevant_memory direct smoke ==\\n'\ncurl -fsS -X POST http://127.0.0.1:8765/relevant_memory -H 'content-type: application/json' -d '{\"query\":\"Raymond memory preferences token budget\",\"limit\":5,\"max_chars\":1800}' | python3 -m json.tool | sed -n '1,120p'","workdir":"/home/rurouni","yieldMs":1000,"timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":2035,"output":554,"cacheRead":41472,"cacheWrite":0,"totalTokens":44061,"cost":{"input":0.010175,"output":0.01662,"cacheRead":0.020735999999999997,"cacheWrite":0,"total":0.047531}},"stopReason":"toolUse","timestamp":1777862851740,"responseId":"resp_044715aa23543a330169f808c414a88195bf3dbf0b6cfe69e9"}} {"type":"message","id":"f5148fb2","parentId":"a9a0ca7f","timestamp":"2026-05-04T02:47:40.114Z","message":{"role":"toolResult","toolCallId":"call_2yhJcKyXUuoqmgl6IUO50B3s|fc_044715aa23543a330169f808c5d0d08195800194f5e0f27dd5","toolName":"exec","content":[{"type":"text","text":"== plugin installs config ==\n/home/rurouni/.openclaw/plugins/installs.json\n{\n \"version\": 1,\n \"warning\": \"DO NOT EDIT. This file is generated by OpenClaw from plugin manifests, install records, and config policy. Use `openclaw plugins registry --refresh`, `openclaw plugins install/update/uninstall`, or `openclaw plugins enable/disable` instead.\",\n \"hostContractVersion\": \"2026.5.2\",\n \"compatRegistryVersion\": \"f495518e4bb408b5b516ec1add5c2c1850580753e490d00c996d690c24523e34\",\n \"migrationVersion\": 1,\n \"policyHash\": \"8707dd1bcf786bb02ff592d02bde9ba6029956db70154ac0374d95abc46f069d\",\n \"generatedAtMs\": 1777859943064,\n \"refreshReason\": \"policy-changed\",\n \"installRecords\": {\n \"lossless-claw\": {\n \"source\": \"path\",\n \"sourcePath\": \"/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw\",\n \"installPath\": \"/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw\",\n \"version\": \"0.9.3\",\n \"installedAt\": \"2026-05-04T01:37:04.375Z\"\n }\n },\n \"plugins\": [\n {\n \"pluginId\": \"lossless-claw\",\n \"packageName\": \"@martian-engineering/lossless-claw\",\n \"packageVersion\": \"0.9.3\",\n \"installRecordHash\": \"d8ae5f106a5e2410ab9d6dcff81c5fa104ab3e07f230c7432e86d69e82f36f66\",\n \"manifestPath\": \"/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/openclaw.plugin.json\",\n \"manifestHash\": \"0024798c7b11c23cb88f9169afefb791fa3306de8f5ca8b3def1ade4e16a6cbf\",\n \"manifestFile\": {\n \"size\": 14906,\n \"mtimeMs\": 1777857275255.5156,\n \"ctimeMs\": 1777857541346.8057\n },\n \"source\": \"/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/dist/index.js\",\n \"packageJson\": {\n \"path\": \"package.json\",\n \"hash\": \"394ebb329eb5a197d81218fb9a9002ad9e33e00105c075cee2ca5413da271720\",\n \"fileSignature\": {\n \"size\": 2312,\n \"mtimeMs\": 1777857275275.516,\n \"ctimeMs\": 1777857541346.8057\n }\n },\n \"rootDir\": \"/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw\",\n \"origin\": \"config\",\n \"enabled\": false,\n \"startup\": {\n \"sidecar\": false,\n \"memory\": false,\n \"deferConfiguredChannelFullLoadUntilAfterListen\": false,\n \"agentHarnesses\": []\n },\n \"compat\": []\n },\n {\n \"pluginId\": \"active-memory\",\n \"manifestPath\": \"/usr/lib/node_modules/openclaw/dist/extensions/active-memory/openclaw.plugin.json\",\n \"manifestHash\": \"2e55306977a7aa3a11b32c7f5fb8d802e74d2716e1ff60581dcfa82dfd56512d\",\n \"manifestFile\": {\n \"size\": 8276,\n \"mtimeMs\": 1777775356234.7527,\n \"ctimeMs\": 1777775356234.7527\n },\n \"source\": \"/usr/lib/node_modules/openclaw/dist/extensions/active-memory/index.js\",\n \"rootDir\": \"/usr/lib/node_modules/openclaw/dist/extensions/active-memory\",\n \"origin\": \"bundled\",\n \"enabled\": false,\n \"startup\": {\n \"sidecar\": true,\n \"memory\": false,\n \"deferConfiguredChannelFullLoadUntilAfterListen\": false,\n \"agentHarnesses\": []\n },\n \"compat\": []\n },\n {\n \"pluginId\": \"alibaba\",\n \"packageName\": \"@openclaw/alibaba-provider\",\n \"packageVersion\": \"2026.5.2\",\n \"manifestPath\": \"/usr/lib/node_modules/openclaw/dist/extensions/alibaba/openclaw.plugin.json\",\n \"manifestHash\": \"f89fad1382270da7c135c5668bd1824d02245ac8053909917ae6dde400c5c800\",\n \"manifestFile\": {\n \"size\": 1015,\n \"mtimeMs\": 1777775356234.7527,\n \"ctimeMs\": 1777775356234.7527\n },\n \"source\": \"/usr/lib/node_modules/openclaw/dist/extensions/alibaba/index.js\",\n \"packageJson\": {\n \"path\": \"package.json\",\n \"hash\": \"ed1257634ba5e8f94759635760478961ada308757946feb3096c94b7c6fed2d5\",\n \"fileSignature\": {\n \"size\": 315,\n \"mtimeMs\": 1777775356262.7537,\n \"ctimeMs\": 1777775356262.7537\n }\n },\n \"rootDir\": \"/usr/lib/node_modules/openclaw/dist/extensions/alibaba\",\n \"origin\": \"bundled\",\n \n\n== local lossless install ==\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/docs/agent-tools.md\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/docs/architecture.md\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/docs/configuration.md\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/docs/fts5.md\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/docs/tui.md\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/package.json\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/README.md\n{\n \"name\": \"@martian-engineering/lossless-claw\",\n \"version\": \"0.9.3\",\n \"main\": \"dist/index.js\",\n \"openclaw\": {\n \"extensions\": [\n \"./dist/index.js\"\n ],\n \"compat\": {\n \"pluginApi\": \">=2026.2.17\",\n \"minGatewayVersion\": \"2026.2.17\"\n },\n \"build\": {\n \"openclawVersion\": \"2026.2.17\"\n }\n }\n}\n\n== OpenClaw config selected plugin keys sanitized ==\nplugins {\n \"entries\": {\n \"telegram\": {\n \"enabled\": true\n },\n \"openrouter\": {\n \"enabled\": true\n },\n \"duckduckgo\": {\n \"enabled\": true\n },\n \"bonjour\": {\n \"enabled\": false\n },\n \"browser\": {\n \"enabled\": true\n },\n \"device-pair\": {\n \"enabled\": false\n },\n \"phone-control\": {\n \"enabled\": false\n },\n \"talk-voice\": {\n \"enabled\": false\n },\n \"file-transfer\": {\n \"enabled\": false\n },\n \"openai\": {\n \"enabled\": true\n },\n \"deepseek\": {\n \"enabled\": true\n },\n \"lossless-claw\": {\n \"enabled\": true\n }\n },\n \"load\": {\n \"paths\": [\n \"/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw\"\n ]\n },\n \"slots\": {\n \"contextEngine\": \"legacy\"\n }\n}\nmemory \nagents.defaults.startupContext \nagents.defaults.contextLimits \n\n== mem0 relevant_memory direct smoke ==\n{\n \"text\": \"\\nPinned facts:\\n- Raymond prefers OpenClaw memory context to stay compact with normal memory injection at 300-800 tokens, project-heavy turns at 800-1500 tokens, and a hard maximum of 2000 memory/doc tokens\\n\",\n \"results\": [\n {\n \"id\": \"39cd2b34-f9b6-4a37-bae7-8d7a592ab651\",\n \"memory\": \"Raymond prefers OpenClaw memory context to stay compact with normal memory injection at 300-800 tokens, project-heavy turns at 800-1500 tokens, and a hard maximum of 2000 memory/doc tokens\",\n \"hash\": \"de081580b52e427056668294ca63e590\",\n \"metadata\": {\n \"category\": \"user_preference\",\n \"tags\": [\n \"pinned\",\n \"memory_policy\"\n ]\n },\n \"score\": 0.72799003,\n \"created_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"updated_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"user_id\": \"raymond\"\n }\n ]\n}"}],"details":{"status":"completed","exitCode":0,"durationMs":396,"aggregated":"== plugin installs config ==\n/home/rurouni/.openclaw/plugins/installs.json\n{\n \"version\": 1,\n \"warning\": \"DO NOT EDIT. This file is generated by OpenClaw from plugin manifests, install records, and config policy. Use `openclaw plugins registry --refresh`, `openclaw plugins install/update/uninstall`, or `openclaw plugins enable/disable` instead.\",\n \"hostContractVersion\": \"2026.5.2\",\n \"compatRegistryVersion\": \"f495518e4bb408b5b516ec1add5c2c1850580753e490d00c996d690c24523e34\",\n \"migrationVersion\": 1,\n \"policyHash\": \"8707dd1bcf786bb02ff592d02bde9ba6029956db70154ac0374d95abc46f069d\",\n \"generatedAtMs\": 1777859943064,\n \"refreshReason\": \"policy-changed\",\n \"installRecords\": {\n \"lossless-claw\": {\n \"source\": \"path\",\n \"sourcePath\": \"/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw\",\n \"installPath\": \"/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw\",\n \"version\": \"0.9.3\",\n \"installedAt\": \"2026-05-04T01:37:04.375Z\"\n }\n },\n \"plugins\": [\n {\n \"pluginId\": \"lossless-claw\",\n \"packageName\": \"@martian-engineering/lossless-claw\",\n \"packageVersion\": \"0.9.3\",\n \"installRecordHash\": \"d8ae5f106a5e2410ab9d6dcff81c5fa104ab3e07f230c7432e86d69e82f36f66\",\n \"manifestPath\": \"/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/openclaw.plugin.json\",\n \"manifestHash\": \"0024798c7b11c23cb88f9169afefb791fa3306de8f5ca8b3def1ade4e16a6cbf\",\n \"manifestFile\": {\n \"size\": 14906,\n \"mtimeMs\": 1777857275255.5156,\n \"ctimeMs\": 1777857541346.8057\n },\n \"source\": \"/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/dist/index.js\",\n \"packageJson\": {\n \"path\": \"package.json\",\n \"hash\": \"394ebb329eb5a197d81218fb9a9002ad9e33e00105c075cee2ca5413da271720\",\n \"fileSignature\": {\n \"size\": 2312,\n \"mtimeMs\": 1777857275275.516,\n \"ctimeMs\": 1777857541346.8057\n }\n },\n \"rootDir\": \"/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw\",\n \"origin\": \"config\",\n \"enabled\": false,\n \"startup\": {\n \"sidecar\": false,\n \"memory\": false,\n \"deferConfiguredChannelFullLoadUntilAfterListen\": false,\n \"agentHarnesses\": []\n },\n \"compat\": []\n },\n {\n \"pluginId\": \"active-memory\",\n \"manifestPath\": \"/usr/lib/node_modules/openclaw/dist/extensions/active-memory/openclaw.plugin.json\",\n \"manifestHash\": \"2e55306977a7aa3a11b32c7f5fb8d802e74d2716e1ff60581dcfa82dfd56512d\",\n \"manifestFile\": {\n \"size\": 8276,\n \"mtimeMs\": 1777775356234.7527,\n \"ctimeMs\": 1777775356234.7527\n },\n \"source\": \"/usr/lib/node_modules/openclaw/dist/extensions/active-memory/index.js\",\n \"rootDir\": \"/usr/lib/node_modules/openclaw/dist/extensions/active-memory\",\n \"origin\": \"bundled\",\n \"enabled\": false,\n \"startup\": {\n \"sidecar\": true,\n \"memory\": false,\n \"deferConfiguredChannelFullLoadUntilAfterListen\": false,\n \"agentHarnesses\": []\n },\n \"compat\": []\n },\n {\n \"pluginId\": \"alibaba\",\n \"packageName\": \"@openclaw/alibaba-provider\",\n \"packageVersion\": \"2026.5.2\",\n \"manifestPath\": \"/usr/lib/node_modules/openclaw/dist/extensions/alibaba/openclaw.plugin.json\",\n \"manifestHash\": \"f89fad1382270da7c135c5668bd1824d02245ac8053909917ae6dde400c5c800\",\n \"manifestFile\": {\n \"size\": 1015,\n \"mtimeMs\": 1777775356234.7527,\n \"ctimeMs\": 1777775356234.7527\n },\n \"source\": \"/usr/lib/node_modules/openclaw/dist/extensions/alibaba/index.js\",\n \"packageJson\": {\n \"path\": \"package.json\",\n \"hash\": \"ed1257634ba5e8f94759635760478961ada308757946feb3096c94b7c6fed2d5\",\n \"fileSignature\": {\n \"size\": 315,\n \"mtimeMs\": 1777775356262.7537,\n \"ctimeMs\": 1777775356262.7537\n }\n },\n \"rootDir\": \"/usr/lib/node_modules/openclaw/dist/extensions/alibaba\",\n \"origin\": \"bundled\",\n \n\n== local lossless install ==\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/docs/agent-tools.md\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/docs/architecture.md\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/docs/configuration.md\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/docs/fts5.md\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/docs/tui.md\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/package.json\n/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw/README.md\n{\n \"name\": \"@martian-engineering/lossless-claw\",\n \"version\": \"0.9.3\",\n \"main\": \"dist/index.js\",\n \"openclaw\": {\n \"extensions\": [\n \"./dist/index.js\"\n ],\n \"compat\": {\n \"pluginApi\": \">=2026.2.17\",\n \"minGatewayVersion\": \"2026.2.17\"\n },\n \"build\": {\n \"openclawVersion\": \"2026.2.17\"\n }\n }\n}\n\n== OpenClaw config selected plugin keys sanitized ==\nplugins {\n \"entries\": {\n \"telegram\": {\n \"enabled\": true\n },\n \"openrouter\": {\n \"enabled\": true\n },\n \"duckduckgo\": {\n \"enabled\": true\n },\n \"bonjour\": {\n \"enabled\": false\n },\n \"browser\": {\n \"enabled\": true\n },\n \"device-pair\": {\n \"enabled\": false\n },\n \"phone-control\": {\n \"enabled\": false\n },\n \"talk-voice\": {\n \"enabled\": false\n },\n \"file-transfer\": {\n \"enabled\": false\n },\n \"openai\": {\n \"enabled\": true\n },\n \"deepseek\": {\n \"enabled\": true\n },\n \"lossless-claw\": {\n \"enabled\": true\n }\n },\n \"load\": {\n \"paths\": [\n \"/data/openclaw-memory/tools/npm/node_modules/@martian-engineering/lossless-claw\"\n ]\n },\n \"slots\": {\n \"contextEngine\": \"legacy\"\n }\n}\nmemory \nagents.defaults.startupContext \nagents.defaults.contextLimits \n\n== mem0 relevant_memory direct smoke ==\n{\n \"text\": \"\\nPinned facts:\\n- Raymond prefers OpenClaw memory context to stay compact with normal memory injection at 300-800 tokens, project-heavy turns at 800-1500 tokens, and a hard maximum of 2000 memory/doc tokens\\n\",\n \"results\": [\n {\n \"id\": \"39cd2b34-f9b6-4a37-bae7-8d7a592ab651\",\n \"memory\": \"Raymond prefers OpenClaw memory context to stay compact with normal memory injection at 300-800 tokens, project-heavy turns at 800-1500 tokens, and a hard maximum of 2000 memory/doc tokens\",\n \"hash\": \"de081580b52e427056668294ca63e590\",\n \"metadata\": {\n \"category\": \"user_preference\",\n \"tags\": [\n \"pinned\",\n \"memory_policy\"\n ]\n },\n \"score\": 0.72799003,\n \"created_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"updated_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"user_id\": \"raymond\"\n }\n ]\n}","cwd":"/home/rurouni"},"isError":false,"timestamp":1777862860114}} {"type":"message","id":"f6bcb199","parentId":"f5148fb2","timestamp":"2026-05-04T02:47:49.955Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f808cd67948195abbf266419998f04\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-AjR7GUQu26WgW07MdPTllV1MRF7HqPkV1Dc5BveZB-8wmAOKQcBRLiRPRmGXMev7waSiLSMUzGfDUKJ7jhpu4Pq-sZ4LNIVHvx3obVrhLjq-Drf8Y6hW1QP1iVJA7rKjdrFdvRfhHxJa6864bfbcj2-c5UZG1FVJzTVlyUeRMqM_abYVnijbYwcxTxP1jsT5iCCVo2kHzs3_jlEBdVWvNjvHDaPpG0pM-Zwim-1ksZqH_894MIOnSTEZSRYX3N488NAqNz4T9DfWTjXJZrUEPXULJU6rwBCLZGqGhHc5QaWmK1ulq2l1-tRK96lxBWG947_x8Fs0cZNf6I4rXS_0mT0SBiofFx2IsENJOIrHJu9hsixZfXpqDKy-U8Dg66tflV1kG93zB9olBZXFgMIDFA6WxgAT5zoys-9j1A2nNqdrqTOQqpIs4GtjHkIcagwgSJ034td2HiYzmH5FdHYo-fqparsD4_lwNfbt3iiw7gcuYLA8VbSumTTb5pGIEqPgZUhlFWKpSWbepmxAIJqQp-Xck_NnqAc95Vp-KDm2zxhhcw7djGQWf2VEqlubJ_VTl5SBTtJ-NwA0f0YGwhgy35QWe0XW2lJsT2L0pkV9OiLQK2b-iX1GqZbHIRk-5IlJsv1ENIcv2_fGIQUL6P6lXa0fqCGNdjEWNOU00af6UVpd-wngO0UkjmRpf5YOf7GbxqcQB0vVu6qE1wBSUj9KpuIbmE70YCGJJ6ndZjns0iSr7L2wKgbhMGH9F0_QXIDd6UaggIDBtRmQO4pOqi4gcCifbECENwR8LFFCNp_mNcq7tGw70ADQVbRkQ2iCU26HCJGyfxdp0NnIUv9ZF_AIiWiBEhXRae5OYbrRKRyYiy01ba6vKHn1BG_PXeSvNHEfV-ZSllZGtyqqyv41WcwQZ2z99tehEGcxjCDEcLJHI-zJWuRkwJr8ApyX4Xxgjh1Ia0OLHE4HO8oFGtozUIOcdCdyDwcFMPRwmigPLX9Iw__jGm2GZQLuhFes9rfbpZB45wCFl01T6zCEp2NS758v9HjnwZBbUkZaWWoz_XH9bdiUGVyGQsctnodO4G4jC5yVmAgAHrZoF2th79ahbWM4lN2xXs85g7w5TTJRkwPffMbaLiYTqnwoUdfdZAtbbdk8jhyNEfzsAarRh6G6YgKcfiILyJkFJhOPgpoucy6li6U2jQqQWOMKm-4_6jTeqk5kuKaBQKZaAJTbQr2JmeyECpOgTh8qanhOym94ceMuzFqvSgUNl-h48qV8p9ZhYIw4Uzq-FbbAnd8II5b-kwJxYte3ek6Eq2lkUF94wer1k-TIWHOitLKl6VKMS0POBBR8_Ep1bkRVf0kWfYq-6w5FH933Kz6gLc603igyX4GtC7LMMIblfL5QEXdzhrqmoBKDAMRYvsCsqP5AgtdE5tRwGJ4o_1D_7r6XbjmV353gFscu6J3hubnrOdpabAe1ngyNma2YK3id2vJxoZdjyplG7uJdsOopVjJbz5m6R5JwL74dxtz9-unNdnnvf-G3y5sDxTp5qEHCw1c7HH66D8Q0IGMLlmIRH4Mio51lZisMSfpy7Ksbuxkf9wP-RyGmNV5BfcXXn1e_dECDah8yQDUEsEZe0En2Tl8e5Hj_5RAGT6zFBODxSIDWkZ7pIbePIUhCbT4wKGf4_H1u4CMNut_qB5IGq7XGdwOSkYi1KWAlo6yWA1B2ES8x4RIQyhLDAOBZjubocDeIoh6U6D06_hchursWefyUdkqczC7beeI80JwsU3q4HbBW-PTECJ5j359Ie_bT5F8HqakK6FR9qtF7ibUX3HDIN0X-qOLJmW3X2KpC5W0PsfHvSrQJrFrj5zOCE7S4JgBXfWn7DWksIPQxovW_nqbfhCS_mkTAh2AExnKdEimwd9DguKIS0Gn9bhInptpOW1Qp__3lSOPK9-a-H7r65IjCkl6kiqvgZqHsnJO3P9i55rqJUUWcVHkqIPVkAz5kNDc9h2-IQWJSLpf-A0u3g_dGHW71GKEQ7W6XGorI7bfljeZgbH4dyxM_6w9GftsO6_Ea0cxyAqkELj_JymrYSyijbq_nV7-p30c5izKDUf2FNnTSsLAHp16YNE-2c3vJgk5SQsSUoceCNZdsgCwjt-SwGMUQBbQdpplg_qeVGim0tUFkQs5MaG75VC_88gYrkEjvJwf7tEG4GySiyFeGsEyCmVjQZf5ieI5CtjxnLCb6btHvo6Gg1Rme84HfLfxwAs2Zzs-ZtxXeCcZu3jKKoAg8icddaXLamZuiWyjXJ4=\",\"summary\":[]}"},{"type":"toolCall","id":"call_FClGL4cG08AiK0d07WVRLAWH|fc_044715aa23543a330169f808d1309c8195b4b2029b999865df","name":"exec","arguments":{"command":"set -o pipefail\nprintf '== model files ==\\n'\nfind /models/embeddings/Qwen3-Embedding-0.6B /models/embeddings/Qwen3-Embedding-0.6B-hf -maxdepth 2 -type f -printf '%s %p\\n' 2>/dev/null | sort -nr | head -80\nprintf '\\n== nvidia smi ==\\n'\nnvidia-smi --query-gpu=name,memory.total,memory.used,memory.free --format=csv,noheader,nounits 2>/dev/null || true\nprintf '\\n== qdrant collections ==\\n'\ncurl -fsS http://127.0.0.1:6333/collections | python3 -m json.tool | sed -n '1,120p'\nprintf '\\n== qdrant openclaw_mem0 info ==\\n'\ncurl -fsS http://127.0.0.1:6333/collections/openclaw_mem0 | python3 -m json.tool | sed -n '1,160p' || true\nprintf '\\n== mem0 list ==\\n'\n/data/openclaw-memory/bin/mem0-query list --limit 20 | sed -n '1,160p'","workdir":"/home/rurouni","yieldMs":1000,"timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":3189,"output":512,"cacheRead":43008,"cacheWrite":0,"totalTokens":46709,"cost":{"input":0.015945,"output":0.01536,"cacheRead":0.021504,"cacheWrite":0,"total":0.052808999999999995}},"stopReason":"toolUse","timestamp":1777862860120,"responseId":"resp_044715aa23543a330169f808cc66c48195b51ec461d27f91dd"}} {"type":"message","id":"8a6c28d4","parentId":"f6bcb199","timestamp":"2026-05-04T02:47:51.282Z","message":{"role":"toolResult","toolCallId":"call_FClGL4cG08AiK0d07WVRLAWH|fc_044715aa23543a330169f808d1309c8195b4b2029b999865df","toolName":"exec","content":[{"type":"text","text":"Command still running (session nova-sable, pid 71652). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"nova-sable","pid":71652,"startedAt":1777862870131,"cwd":"/home/rurouni","tail":" \"params\": {\n \"vectors\": {\n \"size\": 1024,\n \"distance\": \"Cosine\",\n \"on_disk\": true\n },\n \"shard_number\": 1,\n \"replication_factor\": 1,\n \"write_consistency_factor\": 1,\n \"on_disk_payload\": true,\n \"sparse_vectors\": {\n \"bm25\": {\n \"modifier\": \"idf\"\n }\n }\n },\n \"hnsw_config\": {\n \"m\": 16,\n \"ef_construct\": 100,\n \"full_scan_threshold\": 10000,\n \"max_indexing_threads\": 0,\n \"on_disk\": false\n },\n \"optimizer_config\": {\n \"deleted_threshold\": 0.2,\n \"vacuum_min_vector_number\": 1000,\n \"default_segment_number\": 0,\n \"max_segment_size\": null,\n \"memmap_threshold\": null,\n \"indexing_threshold\": 10000,\n \"flush_interval_sec\": 5,\n \"max_optimization_threads\": null,\n \"prevent_unoptimized\": null\n },\n \"wal_config\": {\n \"wal_capacity_mb\": 32,\n \"wal_segments_ahead\": 0,\n \"wal_retain_closed\": 1\n },\n \"quantization_config\": null\n },\n \"payload_schema\": {\n \"actor_id\": {\n \"data_type\": \"keyword\",\n \"points\": 0\n },\n \"run_id\": {\n \"data_type\": \"keyword\",\n \"points\": 0\n },\n \"agent_id\": {\n \"data_type\": \"keyword\",\n \"points\": 0\n },\n \"user_id\": {\n \"data_type\": \"keyword\",\n \"points\": 1\n }\n },\n \"update_queue\": {\n \"length\": 0\n }\n },\n \"status\": \"ok\",\n \"time\": 0.000376159\n}\n\n== mem0 list ==\n"},"isError":false,"timestamp":1777862871282}} {"type":"message","id":"3a050d06","parentId":"8a6c28d4","timestamp":"2026-05-04T02:47:52.993Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_144p7pt5K0at8rswZbRO6gXi|fc_044715aa23543a330169f808d88af0819591234b97dbc1180a","name":"process","arguments":{"action":"poll","sessionId":"nova-sable","timeout":30000,"limit":12000}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":671,"output":34,"cacheRead":46080,"cacheWrite":0,"totalTokens":46785,"cost":{"input":0.0033550000000000003,"output":0.00102,"cacheRead":0.023039999999999998,"cacheWrite":0,"total":0.027415}},"stopReason":"toolUse","timestamp":1777862871289,"responseId":"resp_044715aa23543a330169f808d793908195bc983fc6cb47060a"}} {"type":"message","id":"da25335e","parentId":"3a050d06","timestamp":"2026-05-04T02:47:58.793Z","message":{"role":"toolResult","toolCallId":"call_144p7pt5K0at8rswZbRO6gXi|fc_044715aa23543a330169f808d88af0819591234b97dbc1180a","toolName":"process","content":[{"type":"text","text":"== model files ==\n1191586416 /models/embeddings/Qwen3-Embedding-0.6B-hf/model.safetensors\n639150592 /models/embeddings/Qwen3-Embedding-0.6B/Qwen3-Embedding-0.6B-Q8_0.gguf\n11423705 /models/embeddings/Qwen3-Embedding-0.6B-hf/tokenizer.json\n2776833 /models/embeddings/Qwen3-Embedding-0.6B-hf/vocab.json\n1671853 /models/embeddings/Qwen3-Embedding-0.6B-hf/merges.txt\n17237 /models/embeddings/Qwen3-Embedding-0.6B-hf/README.md\n9706 /models/embeddings/Qwen3-Embedding-0.6B-hf/tokenizer_config.json\n1570 /models/embeddings/Qwen3-Embedding-0.6B-hf/.gitattributes\n727 /models/embeddings/Qwen3-Embedding-0.6B-hf/config.json\n349 /models/embeddings/Qwen3-Embedding-0.6B-hf/modules.json\n313 /models/embeddings/Qwen3-Embedding-0.6B-hf/1_Pooling/config.json\n215 /models/embeddings/Qwen3-Embedding-0.6B-hf/config_sentence_transformers.json\n117 /models/embeddings/Qwen3-Embedding-0.6B-hf/generation_config.json\n\n== nvidia smi ==\nNVIDIA GeForce GTX 1080 Ti, 11264, 9079, 2086\n\n== qdrant collections ==\n{\n \"result\": {\n \"collections\": [\n {\n \"name\": \"openclaw_mem0\"\n },\n {\n \"name\": \"mem0migrations\"\n }\n ]\n },\n \"status\": \"ok\",\n \"time\": 6.294e-06\n}\n\n== qdrant openclaw_mem0 info ==\n{\n \"result\": {\n \"status\": \"green\",\n \"optimizer_status\": \"ok\",\n \"indexed_vectors_count\": 0,\n \"points_count\": 1,\n \"segments_count\": 8,\n \"config\": {\n \"params\": {\n \"vectors\": {\n \"size\": 1024,\n \"distance\": \"Cosine\",\n \"on_disk\": true\n },\n \"shard_number\": 1,\n \"replication_factor\": 1,\n \"write_consistency_factor\": 1,\n \"on_disk_payload\": true,\n \"sparse_vectors\": {\n \"bm25\": {\n \"modifier\": \"idf\"\n }\n }\n },\n \"hnsw_config\": {\n \"m\": 16,\n \"ef_construct\": 100,\n \"full_scan_threshold\": 10000,\n \"max_indexing_threads\": 0,\n \"on_disk\": false\n },\n \"optimizer_config\": {\n \"deleted_threshold\": 0.2,\n \"vacuum_min_vector_number\": 1000,\n \"default_segment_number\": 0,\n \"max_segment_size\": null,\n \"memmap_threshold\": null,\n \"indexing_threshold\": 10000,\n \"flush_interval_sec\": 5,\n \"max_optimization_threads\": null,\n \"prevent_unoptimized\": null\n },\n \"wal_config\": {\n \"wal_capacity_mb\": 32,\n \"wal_segments_ahead\": 0,\n \"wal_retain_closed\": 1\n },\n \"quantization_config\": null\n },\n \"payload_schema\": {\n \"actor_id\": {\n \"data_type\": \"keyword\",\n \"points\": 0\n },\n \"run_id\": {\n \"data_type\": \"keyword\",\n \"points\": 0\n },\n \"agent_id\": {\n \"data_type\": \"keyword\",\n \"points\": 0\n },\n \"user_id\": {\n \"data_type\": \"keyword\",\n \"points\": 1\n }\n },\n \"update_queue\": {\n \"length\": 0\n }\n },\n \"status\": \"ok\",\n \"time\": 0.000376159\n}\n\n== mem0 list ==\n{\n \"results\": [\n {\n \"id\": \"39cd2b34-f9b6-4a37-bae7-8d7a592ab651\",\n \"memory\": \"Raymond prefers OpenClaw memory context to stay compact with normal memory injection at 300-800 tokens, project-heavy turns at 800-1500 tokens, and a hard maximum of 2000 memory/doc tokens\",\n \"hash\": \"de081580b52e427056668294ca63e590\",\n \"metadata\": {\n \"category\": \"user_preference\",\n \"tags\": [\n \"pinned\",\n \"memory_policy\"\n ]\n },\n \"created_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"updated_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"user_id\": \"raymond\"\n }\n ]\n}\n\rLoading weights: 0%| | 0/310 [00:00&2\n exit 2\nfi\nlimit=\"${2:-5}\"\nmax_chars=\"${3:-1800}\"\ncurl -fsS -X POST http://127.0.0.1:8765/relevant_memory \\\n -H 'content-type: application/json' \\\n -d \"$(python3 - < \"$report_dir/report.md\"\n/data/openclaw-memory/bin/mem0-query list --limit 10000 > \"$report_dir/mem0-export.json\"\npython3 - \"$report_dir/mem0-export.json\" \"$report_dir/report.md\" <<'PY'\nimport json, sys, hashlib, datetime\nexport_path, report_path = sys.argv[1:]\ndata=json.load(open(export_path))\nrows=data.get('results', data if isinstance(data, list) else [])\nseen={}; dup=[]; stale=[]; pinned=[]\nnow=datetime.datetime.now(datetime.timezone.utc)\nfor r in rows:\n text=(r.get('memory') or r.get('text') or '').strip()\n meta=r.get('metadata') or {}\n tags=meta.get('tags') or []\n cat=meta.get('category') or ''\n h=hashlib.sha256(' '.join(text.lower().split()).encode()).hexdigest()[:16]\n if h in seen: dup.append((seen[h], r))\n else: seen[h]=r\n if 'pinned' in tags: pinned.append(r)\n created=r.get('created_at') or ''\n if cat == 'temporary' or 'stale_candidate' in tags:\n stale.append(r)\nwith open(report_path,'a') as f:\n f.write(f\"\\nTotal Mem0 rows: {len(rows)}\\n\")\n f.write(f\"Pinned rows: {len(pinned)}\\n\")\n f.write(f\"Exact duplicate candidates: {len(dup)}\\n\")\n f.write(f\"Stale/temporary candidates: {len(stale)}\\n\\n\")\n f.write(\"## Duplicate candidates\\n\")\n if not dup: f.write(\"None found.\\n\")\n for a,b in dup:\n f.write(f\"- DUP? `{a.get('id')}` and `{b.get('id')}`: {(a.get('memory') or '')[:180]}\\n\")\n f.write(\"\\n## Stale/temporary candidates\\n\")\n if not stale: f.write(\"None found.\\n\")\n for r in stale:\n f.write(f\"- REVIEW `{r.get('id')}` category={((r.get('metadata') or {}).get('category'))} tags={((r.get('metadata') or {}).get('tags'))}: {(r.get('memory') or '')[:180]}\\n\")\n f.write(\"\\n## Pinned memories\\n\")\n if not pinned: f.write(\"None found.\\n\")\n for r in pinned:\n f.write(f\"- KEEP `{r.get('id')}`: {(r.get('memory') or '')[:220]}\\n\")\nPY\ncp -a \"$backup_path\" \"$report_dir/backup-copy\" 2>/dev/null || true\necho \"$report_dir/report.md\"\n"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":852,"output":856,"cacheRead":47616,"cacheWrite":0,"totalTokens":49324,"cost":{"input":0.004260000000000001,"output":0.02568,"cacheRead":0.023808,"cacheWrite":0,"total":0.053748000000000004}},"stopReason":"toolUse","timestamp":1777862886897,"responseId":"resp_044715aa23543a330169f808e731748195a042e6e8e52c6656"}} {"type":"message","id":"4d7f349a","parentId":"0775cfde","timestamp":"2026-05-04T02:48:17.356Z","message":{"role":"toolResult","toolCallId":"call_yZVw7jiUdwIEzdjkKTmvv9R0|fc_044715aa23543a330169f808e7e86c8195a72ab76015c281e4","toolName":"write","content":[{"type":"text","text":"Successfully wrote 2467 bytes to /data/openclaw-memory/bin/hygiene-report"}],"isError":false,"timestamp":1777862897355}} {"type":"message","id":"06d57a64","parentId":"4d7f349a","timestamp":"2026-05-04T02:48:18.793Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_XiqOHP2LDO2HwhXjsy0HTQQG|fc_044715aa23543a330169f808f268a88195ad31f497342cf883","name":"read","arguments":{"path":"/data/openclaw-memory/bin/backup","limit":220}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1224,"output":29,"cacheRead":48128,"cacheWrite":0,"totalTokens":49381,"cost":{"input":0.0061200000000000004,"output":0.00087,"cacheRead":0.024064,"cacheWrite":0,"total":0.031054}},"stopReason":"toolUse","timestamp":1777862897361,"responseId":"resp_044715aa23543a330169f808f1a114819598ad80ef40558dca"}} {"type":"message","id":"d9b1a2f0","parentId":"06d57a64","timestamp":"2026-05-04T02:48:19.017Z","message":{"role":"toolResult","toolCallId":"call_XiqOHP2LDO2HwhXjsy0HTQQG|fc_044715aa23543a330169f808f268a88195ad31f497342cf883","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env bash\nset -euo pipefail\nstamp=$(date +%Y%m%d-%H%M%S)\ndest=\"/backup/openclaw-memory/stack-$stamp\"\nmkdir -p \"$dest\" \"$dest/qdrant-snapshots\" \"$dest/config\" \"$dest/scripts\" \"$dest/openclaw\" \"$dest/qmd\" \"$dest/mem0\"\ncp -a /data/openclaw-memory/config/. \"$dest/config/\"\ncp -a /data/openclaw-memory/bin/. \"$dest/scripts/\"\ncp -a /home/rurouni/.openclaw/openclaw.json \"$dest/openclaw/openclaw.json\"\ncp -a /home/rurouni/MEMORY.md /home/rurouni/AGENTS.md /home/rurouni/SOUL.md /home/rurouni/USER.md /home/rurouni/IDENTITY.md \"$dest/openclaw/\" 2>/dev/null || true\ncp -a /data/openclaw-memory/mem0/service.py /data/openclaw-memory/config/mem0-config.yaml \"$dest/mem0/\"\ncp -a /data/openclaw-memory/mem0/history.db* \"$dest/mem0/\" 2>/dev/null || true\ncp -a /data/openclaw-memory/qmd/cache/qmd/index.sqlite \"$dest/qmd/index.sqlite\" 2>/dev/null || true\ncollections=$(curl -fsS http://127.0.0.1:6333/collections | python3 -c 'import json,sys; print(\" \".join(c[\"name\"] for c in json.load(sys.stdin)[\"result\"][\"collections\"]))')\nfor c in $collections; do\n name=$(curl -fsS -X POST \"http://127.0.0.1:6333/collections/$c/snapshots\" | python3 -c 'import json,sys; print(json.load(sys.stdin)[\"result\"][\"name\"])')\n curl -fsS \"http://127.0.0.1:6333/collections/$c/snapshots/$name\" -o \"$dest/qdrant-snapshots/$c-$name\"\ndone\n( cd /data/openclaw-memory && tar --warning=no-file-changed --ignore-failed-read -czf \"$dest/openclaw-memory-config-files.tar.gz\" config bin mem0/service.py qmd/config qmd/cache/qmd/index.sqlite 2>/dev/null || true )\n( cd \"$dest\" && find . -type f -print0 | sort -z | xargs -0 sha256sum > SHA256SUMS.txt )\nln -sfn \"$dest\" /backup/openclaw-memory/latest\necho \"$dest\"\n"}],"isError":false,"timestamp":1777862899017}} {"type":"message","id":"2820624a","parentId":"d9b1a2f0","timestamp":"2026-05-04T02:48:28.555Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_XB1Wf1KrnbRIQxfBW6D007Kk|fc_044715aa23543a330169f808f4ee948195b8d691ec251e0959","name":"write","arguments":{"path":"/data/openclaw-memory/bin/backup","content":"#!/usr/bin/env bash\nset -euo pipefail\nstamp=$(date +%Y%m%d-%H%M%S)\ndest=\"/backup/openclaw-memory/stack-$stamp\"\nmkdir -p \"$dest\" \"$dest/qdrant-snapshots\" \"$dest/config\" \"$dest/scripts\" \"$dest/openclaw\" \"$dest/openclaw/memory\" \"$dest/qmd\" \"$dest/mem0\" \"$dest/systemd\" \"$dest/tools\"\ncp -a /data/openclaw-memory/config/. \"$dest/config/\"\ncp -a /data/openclaw-memory/bin/. \"$dest/scripts/\"\ncp -a /home/rurouni/.openclaw/openclaw.json \"$dest/openclaw/openclaw.json\"\ncp -a /home/rurouni/.openclaw/plugins/installs.json \"$dest/openclaw/plugins-installs.json\" 2>/dev/null || true\ncp -a /home/rurouni/MEMORY.md /home/rurouni/AGENTS.md /home/rurouni/SOUL.md /home/rurouni/USER.md /home/rurouni/IDENTITY.md /home/rurouni/HEARTBEAT.md \"$dest/openclaw/\" 2>/dev/null || true\nif [ -d /home/rurouni/memory ]; then\n rsync -a --exclude='.dreams/session-corpus/**' --exclude='*.sqlite-wal' --exclude='*.sqlite-shm' /home/rurouni/memory/ \"$dest/openclaw/memory/\"\nfi\ncp -a /home/rurouni/.config/systemd/user/openclaw-mem0.service \"$dest/systemd/\" 2>/dev/null || true\ncp -a /data/openclaw-memory/mem0/service.py /data/openclaw-memory/config/mem0-config.yaml \"$dest/mem0/\"\ncp -a /data/openclaw-memory/mem0/history.db* \"$dest/mem0/\" 2>/dev/null || true\ncp -a /data/openclaw-memory/qmd/cache/qmd/index.sqlite \"$dest/qmd/index.sqlite\" 2>/dev/null || true\ncp -a /data/openclaw-memory/tools/npm/package.json /data/openclaw-memory/tools/npm/package-lock.json \"$dest/tools/\" 2>/dev/null || true\ncollections=$(curl -fsS http://127.0.0.1:6333/collections | python3 -c 'import json,sys; print(\" \".join(c[\"name\"] for c in json.load(sys.stdin)[\"result\"][\"collections\"]))')\nfor c in $collections; do\n name=$(curl -fsS -X POST \"http://127.0.0.1:6333/collections/$c/snapshots\" | python3 -c 'import json,sys; print(json.load(sys.stdin)[\"result\"][\"name\"])')\n curl -fsS \"http://127.0.0.1:6333/collections/$c/snapshots/$name\" -o \"$dest/qdrant-snapshots/$c-$name\"\ndone\n( cd /data/openclaw-memory && tar --warning=no-file-changed --ignore-failed-read -czf \"$dest/openclaw-memory-config-files.tar.gz\" config bin mem0/service.py qmd/config qmd/cache/qmd/index.sqlite 2>/dev/null || true )\n( cd /home/rurouni && tar --warning=no-file-changed --ignore-failed-read -czf \"$dest/openclaw-memory-files.tar.gz\" MEMORY.md AGENTS.md SOUL.md USER.md IDENTITY.md HEARTBEAT.md memory 2>/dev/null || true )\n( cd \"$dest\" && find . -type f -print0 | sort -z | xargs -0 sha256sum > SHA256SUMS.txt )\nln -sfn \"$dest\" /backup/openclaw-memory/latest\necho \"$dest\"\n"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":803,"output":892,"cacheRead":49152,"cacheWrite":0,"totalTokens":50847,"cost":{"input":0.004015,"output":0.02676,"cacheRead":0.024576,"cacheWrite":0,"total":0.055351}},"stopReason":"toolUse","timestamp":1777862899022,"responseId":"resp_044715aa23543a330169f808f36acc8195b0fb548045cb8238"}} {"type":"message","id":"9d447bec","parentId":"2820624a","timestamp":"2026-05-04T02:48:28.805Z","message":{"role":"toolResult","toolCallId":"call_XB1Wf1KrnbRIQxfBW6D007Kk|fc_044715aa23543a330169f808f4ee948195b8d691ec251e0959","toolName":"write","content":[{"type":"text","text":"Successfully wrote 2498 bytes to /data/openclaw-memory/bin/backup"}],"isError":false,"timestamp":1777862908805}} {"type":"message","id":"9d6c0998","parentId":"9d447bec","timestamp":"2026-05-04T02:48:36.243Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_GDfr2fI3fGZLAGMaouyLjduL|fc_044715aa23543a330169f808ff8b28819587e2e4ec988ad317","name":"exec","arguments":{"command":"chmod +x /data/openclaw-memory/bin/backup /data/openclaw-memory/bin/hygiene-report /data/openclaw-memory/bin/mem0-relevant\nprintf '== run backup ==\\n'\nbackup=$(/data/openclaw-memory/bin/backup); echo \"$backup\"\nprintf '\\n== backup contents smoke ==\\n'\nfind -L /backup/openclaw-memory/latest -maxdepth 3 -type f | sed 's#/backup/openclaw-memory/latest/##' | sort | grep -E '(^openclaw/memory/|hygiene|scripts/(backup|hygiene-report|mem0-relevant)|openclaw-memory-files|qdrant-snapshots|qmd/index|mem0/history|systemd|tools)' | head -80\nprintf '\\n== mem0 relevant helper smoke ==\\n'\n/data/openclaw-memory/bin/mem0-relevant 'Raymond memory preferences token budget' 5 1800 | sed -n '1,80p'\nprintf '\\n== hygiene report smoke ==\\n'\nreport=$(/data/openclaw-memory/bin/hygiene-report); echo \"$report\"; sed -n '1,120p' \"$report\"","workdir":"/home/rurouni","yieldMs":1000,"timeout":180}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":1209,"output":298,"cacheRead":49664,"cacheWrite":0,"totalTokens":51171,"cost":{"input":0.006045000000000001,"output":0.00894,"cacheRead":0.024832,"cacheWrite":0,"total":0.039817000000000005}},"stopReason":"toolUse","timestamp":1777862908811,"responseId":"resp_044715aa23543a330169f808fd20f08195a946db7068dc24d1"}} {"type":"message","id":"5fc792fa","parentId":"9d6c0998","timestamp":"2026-05-04T02:48:36.887Z","message":{"role":"toolResult","toolCallId":"call_GDfr2fI3fGZLAGMaouyLjduL|fc_044715aa23543a330169f808ff8b28819587e2e4ec988ad317","toolName":"exec","content":[{"type":"text","text":"== run backup ==\n\n\n== backup contents smoke ==\nmem0/history.db\nqdrant-snapshots/mem0migrations-mem0migrations-8579931276517667-2026-05-04-01-50-38.snapshot\nqdrant-snapshots/openclaw_mem0-openclaw_mem0-8579931276517667-2026-05-04-01-50-38.snapshot\nqmd/index.sqlite\nscripts/backup\n\n== mem0 relevant helper smoke ==\n/data/openclaw-memory/bin/backup: line 12: rsync: command not found\n/data/openclaw-memory/bin/backup: line 12: rsync: command not found\nsed: can't read : No such file or directory\n{\n \"text\": \"\\nPinned facts:\\n- Raymond prefers OpenClaw memory context to stay compact with normal memory injection at 300-800 tokens, project-heavy turns at 800-1500 tokens, and a hard maximum of 2000 memory/doc tokens\\n\",\n \"results\": [\n {\n \"id\": \"39cd2b34-f9b6-4a37-bae7-8d7a592ab651\",\n \"memory\": \"Raymond prefers OpenClaw memory context to stay compact with normal memory injection at 300-800 tokens, project-heavy turns at 800-1500 tokens, and a hard maximum of 2000 memory/doc tokens\",\n \"hash\": \"de081580b52e427056668294ca63e590\",\n \"metadata\": {\n \"category\": \"user_preference\",\n \"tags\": [\n \"pinned\",\n \"memory_policy\"\n ]\n },\n \"score\": 0.72799003,\n \"created_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"updated_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"user_id\": \"raymond\"\n }\n ]\n}\n\n== hygiene report smoke ==\n\n(Command exited with code 2)"}],"details":{"status":"completed","exitCode":2,"durationMs":419,"aggregated":"== run backup ==\n\n\n== backup contents smoke ==\nmem0/history.db\nqdrant-snapshots/mem0migrations-mem0migrations-8579931276517667-2026-05-04-01-50-38.snapshot\nqdrant-snapshots/openclaw_mem0-openclaw_mem0-8579931276517667-2026-05-04-01-50-38.snapshot\nqmd/index.sqlite\nscripts/backup\n\n== mem0 relevant helper smoke ==\n/data/openclaw-memory/bin/backup: line 12: rsync: command not found\n/data/openclaw-memory/bin/backup: line 12: rsync: command not found\nsed: can't read : No such file or directory\n{\n \"text\": \"\\nPinned facts:\\n- Raymond prefers OpenClaw memory context to stay compact with normal memory injection at 300-800 tokens, project-heavy turns at 800-1500 tokens, and a hard maximum of 2000 memory/doc tokens\\n\",\n \"results\": [\n {\n \"id\": \"39cd2b34-f9b6-4a37-bae7-8d7a592ab651\",\n \"memory\": \"Raymond prefers OpenClaw memory context to stay compact with normal memory injection at 300-800 tokens, project-heavy turns at 800-1500 tokens, and a hard maximum of 2000 memory/doc tokens\",\n \"hash\": \"de081580b52e427056668294ca63e590\",\n \"metadata\": {\n \"category\": \"user_preference\",\n \"tags\": [\n \"pinned\",\n \"memory_policy\"\n ]\n },\n \"score\": 0.72799003,\n \"created_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"updated_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"user_id\": \"raymond\"\n }\n ]\n}\n\n== hygiene report smoke ==\n\n(Command exited with code 2)","cwd":"/home/rurouni"},"isError":false,"timestamp":1777862916887}} {"type":"message","id":"6912a5eb","parentId":"5fc792fa","timestamp":"2026-05-04T02:48:41.632Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f809060e408195aabd38f1f4eb1b9c\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-AkGOKHhjsvFhjiAndc3xrNdui1zKukEeUjClQoa6Y5uPLJ8GSFsIzuzUaeVDdA-HKEgC2Q5x0EvqVMHE5b9vY8U8ecPb1vSr8uCn2fOzt17mdk-ryV6ibYBGHXcsG-ZyVJTBkbBIEVsMb11jxPZGqM4_eL0lNHgy8ByEiV4w6Lmdworzr1MsyEhzYGWP8MXVW87R8xLzdoXPKgg6MzE753HxqF1XK-SFBmfWw_LcknSx3K6pSi4TGHsFXueAzurDlPAO_FjnQJ0Vrxgb0GFNeKymbq7Q6horMWWafu50xfoEhfSyWyKwWnwAFyh14p9q6gvQYLPJa7UYey4JVX_YjSkgxNwMVHk5qU_P-AJM6b3hxdcYoaegkLk637kAT4Hw7aRzRPVr1TcNhRBzHsNC-SPC9G1bCXCa60--kZPhMPeL32VqyYgPUjHovSot4NUFh3_SZPCDQ_VNX-TDv5ybd_-NIlmcEVJWAuYf18aqI7W_qa5difcEkm0jYUEK28zmfY0wPni_-a5mlm8092ZxZEbdoF16smmSkzxIgattUz9ZTqJD_rbwk9SLM0Ffcd8jdUPyyop0dr7cQ7SD6ZTfurqUY8zpnJg8NUVyvmcbBdMIZd_B30b0baiiibNKmO-X43T6qbt2me8FZBIXIj6S0-rg6Jt4OTW6_0qJziiiPryrfFp6-9S9gxSq7JyAIH0D-vSyvHr-CfEhvd1PKG7862NA8QrIiLamYTBVmnksXGVljIvYvlbU4d_71j_ztRcIBTzUPaeScB9Oz-j6lOD_IxloIZh0Kh1FtBtJPiUqXSEifDlM2D020BQZc7gso_jXOk2NPbGVhKONFWmx-bzYi5P-Ik0k0vBAt3cbg8mS0EVMQke4LRNHMGNaK_eS-tVvBhXLFEvuVNuArZb3YDq9D9IcvO4wbR2WZeuwm1MvSP19WSuIlQC0HRIusYC7-5HVwgZPQ8roKwfY46-V2OlfQBwQeL_P-2aB0v2hIRQ-NY5Zt3VLKxv-QOnDj4G26hSNyW4_2wcZfPdAW8knz7ZkWPK2daRNVp8DJq_G7cuOA5kG0WgT0YYUalngI561rz4-BcRHQU9PIrpCdOiz6R4P-MMqA==\",\"summary\":[]}"},{"type":"text","text":"Tiny snag: `rsync` isnโ€™t installed, so my first backup patch tripped. Thatโ€™s exactly why we smoke-test. Fixing it to use plain `tar/cp` instead.","textSignature":"{\"v\":1,\"id\":\"msg_044715aa23543a330169f80906fb6c8195a43d8c9c361c1b8f\",\"phase\":\"commentary\"}"},{"type":"toolCall","id":"call_JYQ9QdyQuUnXse5ievo1qVPk|fc_044715aa23543a330169f8090793ac81958c03f436ed6d6e1c","name":"edit","arguments":{"path":"/data/openclaw-memory/bin/backup","edits":[{"oldText":"if [ -d /home/rurouni/memory ]; then\n rsync -a --exclude='.dreams/session-corpus/**' --exclude='*.sqlite-wal' --exclude='*.sqlite-shm' /home/rurouni/memory/ \"$dest/openclaw/memory/\"\nfi","newText":"if [ -d /home/rurouni/memory ]; then\n ( cd /home/rurouni/memory && tar --warning=no-file-changed --ignore-failed-read \\\n --exclude='.dreams/session-corpus/**' \\\n --exclude='*.sqlite-wal' \\\n --exclude='*.sqlite-shm' \\\n -cf - . 2>/dev/null || true ) | ( cd \"$dest/openclaw/memory\" && tar -xf - )\nfi"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":952,"output":302,"cacheRead":50688,"cacheWrite":0,"totalTokens":51942,"cost":{"input":0.00476,"output":0.00906,"cacheRead":0.025344,"cacheWrite":0,"total":0.039164}},"stopReason":"toolUse","timestamp":1777862916891,"responseId":"resp_044715aa23543a330169f809052ba48195a2167720ee0910da"}} {"type":"message","id":"c4fff935","parentId":"6912a5eb","timestamp":"2026-05-04T02:48:41.881Z","message":{"role":"toolResult","toolCallId":"call_JYQ9QdyQuUnXse5ievo1qVPk|fc_044715aa23543a330169f8090793ac81958c03f436ed6d6e1c","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /data/openclaw-memory/bin/backup."}],"details":{"diff":" ...\n 8 cp -a /home/rurouni/.openclaw/openclaw.json \"$dest/openclaw/openclaw.json\"\n 9 cp -a /home/rurouni/.openclaw/plugins/installs.json \"$dest/openclaw/plugins-installs.json\" 2>/dev/null || true\n 10 cp -a /home/rurouni/MEMORY.md /home/rurouni/AGENTS.md /home/rurouni/SOUL.md /home/rurouni/USER.md /home/rurouni/IDENTITY.md /home/rurouni/HEARTBEAT.md \"$dest/openclaw/\" 2>/dev/null || true\n 11 if [ -d /home/rurouni/memory ]; then\n-12 rsync -a --exclude='.dreams/session-corpus/**' --exclude='*.sqlite-wal' --exclude='*.sqlite-shm' /home/rurouni/memory/ \"$dest/openclaw/memory/\"\n+12 ( cd /home/rurouni/memory && tar --warning=no-file-changed --ignore-failed-read \\\n+13 --exclude='.dreams/session-corpus/**' \\\n+14 --exclude='*.sqlite-wal' \\\n+15 --exclude='*.sqlite-shm' \\\n+16 -cf - . 2>/dev/null || true ) | ( cd \"$dest/openclaw/memory\" && tar -xf - )\n 13 fi\n 14 cp -a /home/rurouni/.config/systemd/user/openclaw-mem0.service \"$dest/systemd/\" 2>/dev/null || true\n 15 cp -a /data/openclaw-memory/mem0/service.py /data/openclaw-memory/config/mem0-config.yaml \"$dest/mem0/\"\n 16 cp -a /data/openclaw-memory/mem0/history.db* \"$dest/mem0/\" 2>/dev/null || true\n ...","firstChangedLine":12},"isError":false,"timestamp":1777862921881}} {"type":"message","id":"2d9d17cf","parentId":"c4fff935","timestamp":"2026-05-04T02:48:45.965Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_oDh3zXio0SfINrV59UHKej14|fc_044715aa23543a330169f8090b96bc819588f7c2aa2ceb6027","name":"exec","arguments":{"command":"set -o pipefail\nprintf '== run fixed backup ==\\n'\nbackup=$(/data/openclaw-memory/bin/backup); echo \"$backup\"\nprintf '\\n== backup contents smoke ==\\n'\nfind -L /backup/openclaw-memory/latest -maxdepth 3 -type f | sed 's#/backup/openclaw-memory/latest/##' | sort | grep -E '(^openclaw/memory/|scripts/(backup|hygiene-report|mem0-relevant)|openclaw-memory-files|qdrant-snapshots|qmd/index|mem0/history|systemd|tools)' | head -100\nprintf '\\n== hygiene report smoke ==\\n'\nreport=$(/data/openclaw-memory/bin/hygiene-report); echo \"$report\"; sed -n '1,120p' \"$report\"\nprintf '\\n== final status ==\\n'\n/data/openclaw-memory/bin/status | sed -n '1,140p'","workdir":"/home/rurouni","yieldMs":1000,"timeout":240}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":770,"output":244,"cacheRead":51200,"cacheWrite":0,"totalTokens":52214,"cost":{"input":0.00385,"output":0.00732,"cacheRead":0.025599999999999998,"cacheWrite":0,"total":0.03677}},"stopReason":"toolUse","timestamp":1777862921886,"responseId":"resp_044715aa23543a330169f8090a84608195a238f55fd3b32d6f"}} {"type":"message","id":"01c37672","parentId":"2d9d17cf","timestamp":"2026-05-04T02:48:47.338Z","message":{"role":"toolResult","toolCallId":"call_oDh3zXio0SfINrV59UHKej14|fc_044715aa23543a330169f8090b96bc819588f7c2aa2ceb6027","toolName":"exec","content":[{"type":"text","text":"Command still running (session young-seaslug, pid 71850). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"young-seaslug","pid":71850,"startedAt":1777862926105,"cwd":"/home/rurouni","tail":"== run fixed backup ==\n/backup/openclaw-memory/stack-20260503-194846\n\n== backup contents smoke ==\n"},"isError":false,"timestamp":1777862927338}} {"type":"message","id":"69360fbc","parentId":"01c37672","timestamp":"2026-05-04T02:48:50.485Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_9E5K9uWIEmdtLkw3jWKSjEMs|fc_044715aa23543a330169f80911ec048195bda75f961f0dbab6","name":"process","arguments":{"action":"poll","sessionId":"young-seaslug","timeout":30000,"limit":14000}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":545,"output":35,"cacheRead":51712,"cacheWrite":0,"totalTokens":52292,"cost":{"input":0.0027250000000000004,"output":0.00105,"cacheRead":0.025856,"cacheWrite":0,"total":0.029631}},"stopReason":"toolUse","timestamp":1777862927345,"responseId":"resp_044715aa23543a330169f8090fdefc8195a6075c427d8b04ae"}} {"type":"message","id":"f61f615e","parentId":"69360fbc","timestamp":"2026-05-04T02:49:00.567Z","message":{"role":"toolResult","toolCallId":"call_9E5K9uWIEmdtLkw3jWKSjEMs|fc_044715aa23543a330169f80911ec048195bda75f961f0dbab6","toolName":"process","content":[{"type":"text","text":"== run fixed backup ==\n/backup/openclaw-memory/stack-20260503-194846\n\n== backup contents smoke ==\nmem0/history.db\nopenclaw/memory/2026-05-02.md\nopenclaw/memory/2026-05-03-1802.md\nopenclaw/memory/2026-05-03-1940.md\nopenclaw/memory/2026-05-03.md\nopenclaw/memory/2026-05-03-memory-cleanup.md\nopenclaw-memory-files.tar.gz\nopenclaw/memory/README.txt\nqdrant-snapshots/mem0migrations-mem0migrations-8579931276517667-2026-05-04-02-48-46.snapshot\nqdrant-snapshots/openclaw_mem0-openclaw_mem0-8579931276517667-2026-05-04-02-48-46.snapshot\nqmd/index.sqlite\nscripts/backup\nscripts/hygiene-report\nscripts/mem0-relevant\nsystemd/openclaw-mem0.service\ntools/package.json\ntools/package-lock.json\n\n== hygiene report smoke ==\n/backup/openclaw-memory/hygiene-20260503-194847/report.md\n# OpenClaw Memory Hygiene Report\n\nGenerated: 2026-05-03T19:48:48-07:00\nBackup created first: /backup/openclaw-memory/stack-20260503-194847\n\n## Policy\n- Non-destructive report only.\n- No memories are deleted or modified by this script.\n- Pinned memories must be preserved.\n\n## Mem0 export\n\nTotal Mem0 rows: 1\nPinned rows: 1\nExact duplicate candidates: 0\nStale/temporary candidates: 0\n\n## Duplicate candidates\nNone found.\n\n## Stale/temporary candidates\nNone found.\n\n## Pinned memories\n- KEEP `39cd2b34-f9b6-4a37-bae7-8d7a592ab651`: Raymond prefers OpenClaw memory context to stay compact with normal memory injection at 300-800 tokens, project-heavy turns at 800-1500 tokens, and a hard maximum of 2000 memory/doc tokens\n\n== final status ==\n== OpenClaw memory stack status ==\n\n[dirs]\ndrwxrwsr-x 2 rurouni rurouni 4096 May 3 18:29 /archive/openclaw-memory\ndrwxrwsr-x 10 rurouni rurouni 4096 May 3 19:48 /backup/openclaw-memory\ndrwxrwsr-x 13 rurouni rurouni 4096 May 3 18:29 /data/openclaw-memory\ndrwxrwsr-x 4 rurouni rurouni 4096 May 3 18:29 /models/embeddings\n\n[qdrant]\nNAMES STATUS PORTS\nopenclaw-qdrant Up About an hour 127.0.0.1:6333-6334->6333-6334/tcp\nall shards are ready\n[mem0]\nโ— openclaw-mem0.service - OpenClaw Mem0 local memory bridge\n Loaded: loaded (/home/rurouni/.config/systemd/user/openclaw-mem0.service; enabled; preset: enabled)\n Active: active (running) since Sun 2026-05-03 18:23:54 PDT; 1h 25min ago\n Invocation: 6c661a40b50a467d8b23c228ab5c521c\n Main PID: 61201 (uvicorn)\n Tasks: 120 (limit: 76718)\n Memory: 633.4M (peak: 635.1M)\n CPU: 27.285s\n CGroup: /user.slice/user-1000.slice/user@1000.service/app.slice/openclaw-mem0.service\n โ””โ”€61201 /data/openclaw-memory/mem0/venv/bin/python /data/openclaw-memory/mem0/venv/bin/uvicorn service:app --app-dir /data/openclaw-memory/mem0 --host 127.0.0.1 --port 8765 --workers 1\n\nMay 03 18:47:43 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:40048 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 18:47:46 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:54118 - \"POST /relevant_memory HTTP/1.1\" 200 OK\nMay 03 18:51:07 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:59588 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:02:22 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:54434 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:06:50 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:36074 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:09:01 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:54614 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:46:42 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:59254 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:46:45 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:58036 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:47:39 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:58166 - \"POST /relevant_memory HTTP/1.1\" 200 OK\nMay 03 19:48:36 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:41572 - \"POST /relevant_memory HTTP/1.1\" 200 OK\n{\"ok\":true,\"config\":\"/data/openclaw-memory/config/mem0-config.yaml\"}\n[qmd]\nQMD Status\n\nIndex: /data/openclaw-memory/qmd/cache/qmd/index.sqlite\nSize: 16.0 MB\n\nDocuments\n Total: 724 files indexed\n Vectors: 0 embedded\n Pending: 724 need embedding (run 'qmd embed')\n Updated: 1h ago\n\nAST Chunking\n Status: active\n Languages: typescript, tsx, javascript, python, go, rust\n\nCollections\n openclaw-docs (qmd://openclaw-docs/)\n Pattern: **/*.md\n Files: 598 (updated 1d ago)\n rurouni-workspace (qmd://rurouni-workspace/)\n Pattern: **/*.md\n Files: 126 (updated 1h ago)\n\nExamples\n # List files in a collection\n qmd ls openclaw-docs\n # Get a document\n qmd get qmd://openclaw-docs/path/to/file.md\n # Search within a collection\n qmd search \"query\" -c openclaw-docs\n\nModels\n Embedding: https://huggingface.co/ggml-org/embeddinggemma-300M-GGUF\n Reranking: https://huggingface.co/ggml-org/Qwen3-Reranker-0.6B-Q8_0-GGUF\n Generation: https://huggingface.co/tobil/qmd-query-expansion-1.7B-gguf\nQMD Warning: no GPU acceleration, running on CPU (slow). Run 'qmd status' for details.\n\nDevice\n GPU: none (running on CPU โ€” models will be slow)\n Tip: Install CUDA, Vulkan, or Metal support for GPU acceleration.\n CPU: 16 math cores\n\nTips\n Add context to collections for better search results: openclaw-docs, rurouni-workspace\n qmd context add qmd:/// \"What this collection contains\"\n\n[openclaw]\nService: systemd (enabled)\nFile logs: /tmp/openclaw-1000/openclaw-2026-05-03.log\nCommand: /usr/bin/node /usr/lib/node_modules/openclaw/dist/index.js gateway --port 18789\nService file: ~/.config/systemd/user/openclaw-gateway.service\nService env: OPENCLAW_GATEWAY_PORT=18789\n\nConfig (cli): ~/.openclaw/openclaw.json\nConfig (service): ~/.openclaw/openclaw.json\n\nGateway: bind=lan (0.0.0.0), port=18789 (service args)\nProbe target: ws://127.0.0.1:18789\nDashboard: http://192.168.1.50:18789/\nProbe note: bind=lan listens on 0.0.0.0 (all interfaces); probing via 127.0.0.1.\n\nRuntime: running (pid 71014, state active, sub running, last exit 0, reason 0)\nConnectivity probe: ok\nCapability: admin-capable\n\nListening: *:18789\nTroubles: run openclaw status\nTroubleshooting: https://docs.openclaw.ai/troubleshooting\n\rLoading weights: 0%| | 0/310 [00:006333-6334/tcp\nall shards are ready\n[mem0]\nโ— openclaw-mem0.service - OpenClaw Mem0 local memory bridge\n Loaded: loaded (/home/rurouni/.config/systemd/user/openclaw-mem0.service; enabled; preset: enabled)\n Active: active (running) since Sun 2026-05-03 18:23:54 PDT; 1h 25min ago\n Invocation: 6c661a40b50a467d8b23c228ab5c521c\n Main PID: 61201 (uvicorn)\n Tasks: 120 (limit: 76718)\n Memory: 633.4M (peak: 635.1M)\n CPU: 27.285s\n CGroup: /user.slice/user-1000.slice/user@1000.service/app.slice/openclaw-mem0.service\n โ””โ”€61201 /data/openclaw-memory/mem0/venv/bin/python /data/openclaw-memory/mem0/venv/bin/uvicorn service:app --app-dir /data/openclaw-memory/mem0 --host 127.0.0.1 --port 8765 --workers 1\n\nMay 03 18:47:43 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:40048 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 18:47:46 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:54118 - \"POST /relevant_memory HTTP/1.1\" 200 OK\nMay 03 18:51:07 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:59588 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:02:22 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:54434 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:06:50 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:36074 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:09:01 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:54614 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:46:42 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:59254 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:46:45 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:58036 - \"GET /health HTTP/1.1\" 200 OK\nMay 03 19:47:39 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:58166 - \"POST /relevant_memory HTTP/1.1\" 200 OK\nMay 03 19:48:36 debian-ai mem0-serve[61201]: INFO: 127.0.0.1:41572 - \"POST /relevant_memory HTTP/1.1\" 200 OK\n{\"ok\":true,\"config\":\"/data/openclaw-memory/config/mem0-config.yaml\"}\n[qmd]\nQMD Status\n\nIndex: /data/openclaw-memory/qmd/cache/qmd/index.sqlite\nSize: 16.0 MB\n\nDocuments\n Total: 724 files indexed\n Vectors: 0 embedded\n Pending: 724 need embedding (run 'qmd embed')\n Updated: 1h ago\n\nAST Chunking\n Status: active\n Languages: typescript, tsx, javascript, python, go, rust\n\nCollections\n openclaw-docs (qmd://openclaw-docs/)\n Pattern: **/*.md\n Files: 598 (updated 1d ago)\n rurouni-workspace (qmd://rurouni-workspace/)\n Pattern: **/*.md\n Files: 126 (updated 1h ago)\n\nExamples\n # List files in a collection\n qmd ls openclaw-docs\n # Get a document\n qmd get qmd://openclaw-docs/path/to/file.md\n # Search within a collection\n qmd search \"query\" -c openclaw-docs\n\nModels\n Embedding: https://huggingface.co/ggml-org/embeddinggemma-300M-GGUF\n Reranking: https://huggingface.co/ggml-org/Qwen3-Reranker-0.6B-Q8_0-GGUF\n Generation: https://huggingface.co/tobil/qmd-query-expansion-1.7B-gguf\nQMD Warning: no GPU acceleration, running on CPU (slow). Run 'qmd status' for details.\n\nDevice\n GPU: none (running on CPU โ€” models will be slow)\n Tip: Install CUDA, Vulkan, or Metal support for GPU acceleration.\n CPU: 16 math cores\n\nTips\n Add context to collections for better search results: openclaw-docs, rurouni-workspace\n qmd context add qmd:/// \"What this collection contains\"\n\n[openclaw]\nService: systemd (enabled)\nFile logs: /tmp/openclaw-1000/openclaw-2026-05-03.log\nCommand: /usr/bin/node /usr/lib/node_modules/openclaw/dist/index.js gateway --port 18789\nService file: ~/.config/systemd/user/openclaw-gateway.service\nService env: OPENCLAW_GATEWAY_PORT=18789\n\nConfig (cli): ~/.openclaw/openclaw.json\nConfig (service): ~/.openclaw/openclaw.json\n\nGateway: bind=lan (0.0.0.0), port=18789 (service args)\nProbe target: ws://127.0.0.1:18789\nDashboard: http://192.168.1.50:18789/\nProbe note: bind=lan listens on 0.0.0.0 (all interfaces); probing via 127.0.0.1.\n\nRuntime: running (pid 71014, state active, sub running, last exit 0, reason 0)\nConnectivity probe: ok\nCapability: admin-capable\n\nListening: *:18789\nTroubles: run openclaw status\nTroubleshooting: https://docs.openclaw.ai/troubleshooting\n","name":"set pipefail"},"isError":false,"timestamp":1777862940567}} {"type":"message","id":"31d2a544","parentId":"f61f615e","timestamp":"2026-05-04T02:49:18.852Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f8091e5e708195b982e5cdc9a09ecb\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-Akm2ROBmfzjYDIFPsjhy35lF2N28cYAvDvIqKp4XKc-GL0tdvXgGjyfPWdstn2jhqxIUY6WHXNQZL4-gRc3sWurCTr7zixZyMgmykBptI-d-fvC9Ywh1XeZTKmHjXC8nB2iQszzguwiJKLpPYSuveYS_ItQkj01Wcs3G1zi4WZLyhBLB7fmPyLGEtWbuYYO7gm258xMi_c8YHntmC_tl7bJ0kbiwh3oC8ArcQfFb_4Yt-3LfrImVLjRGtHBe0Ueog9jMklgTssFrzP_hu5v5TnTW5VIZ_17dwwndPq_2ZIfTXknaiKQqltyHwf9JGTysIjGmHE3yZP3E0fxkFgxIVUCyRshRquBOyYq4sXzT70EZSlWHSgO1bmFw_QSdZncTJW8y_wJsAnqHEntxJixaA3jzplb3PbmyAdKCRLtsHT_OpXPFQqU7m-tvEk2a_T-duioc9cfJAsUEmjr385MPCXOkotV8wtSYHwC9za700zFAJMnZX6WQn7I_kmih-4H-8uG506N8MjjOTJX5UcWHvL-L_KlhhmN0x9CVWjOPeVGSZmhmg0Zp1Q-hGDn-dOwTdxf1QMer_pcDaifO5eS3Meazrnzs2o4pFIidmn8k9-w1vaVC-zQruyaBoN14TwznJzocOARjt4uSg717Pbv7JGxsj7cbE8afCsEv3M3y-tlXBmzHqNRnP9neklJCf_6SpIqydQDLkUa5XNIjWezG_ytuXrPPA53gPxGwlQgoO9DhEYy67AH2bzwFg32eikyUjf4RZ2-T05JOaHqK4bWn_WW80r1Kl45mm69qhWZzcgfaB56zPsm6lN-yHXNAWtGgdOGzNl0WfbsbddZ44pwYubXlyVKoKuCzt9uc8KE2K6fr-uHRklKtaV7Uk5tgF8BckAXmcvMDmuVZtNFgOL3xiKGTiBnom5HFG5w5WbEcnwzaNamAuGpkbo8gA7Sg4dR-iiKF-wixi0S2e23W7sh-yG7kfkI65BwbZSWoG6ed-_phVBzPq5vOedfmDlcMBHmW5F0ezg_4Bqfk-BzLzwjz3F1zZGhQ5yX1nwD2q7Mnm0zDrR8-BxQq6-keYWQgitqwNxNsCfeL6QkhjWnpXZ0wnED1GmuHyYMU31AtBf6iYNTKDc0of8SFXnBZztRvMJzJENrcHgpPTlCIVzbwyjkY6mq9zHL6VP3CVDdymVsCLFXtpbImhTAwEUYBdJUbL2zpEVfH924Uxo_eBDM7UO3VLeQjG9vOaiZEGEzJ5bnDRq0AfP71if_vE3IHfcezeUnk9UrYJbHyeJsUaiCGqbmEwdH4GuUWodUCbu65AGU7_ieU1a1QxubfMr9Vd8I58z5D6OLikc21Pge254iOB4SvIrYzw0elVS8X_zbrzpmAdqe68gXznGONYLniqmyFSWsPyVEQivKHZxpdQ83fzvKRGm8WmQnWEghCdBCTBwcufpVga0FaxW5Gwt58T6u2GhdwAZkxNNC8qc1EM_x1fuVxNFPRwAoBS5gIyAeb-0cJLIYvUVtA-oKHKuOINYOZybT-YYPumOdlURzu8-RcTYpUkrtKTCO7HqiBno_OvzjLTEUuLRGV2t0CAxiunXon4HWD_0PioSh-OgV9l6u3I4vh5IGACzjYZiSfbJjSMma4I5npM3mYKb-sqv3LlCmGd6I_-7BX7Bv3XTYUMN4zdWNiq0qXToBsJCVj04lqTs7Nt1fSgM_tuqCR7FZm1dCi8e0AfJZb-MzkGEbalz4I8FxBz-Ce_InE_jrbiP5F8xldOco5dcKnagCOjhA-0aqEaaw7b6rBb68uIhZqxmCNy2vS8MBwwgCXxJfGOOW27922Zct2MDlNWvipNI19jDB8Q_ruEvYf6E7gZ-r05VmLV_AJqgaiK3uFgbG_Xv3-IawfzwpAeeD1jj0PXIZ7G-OW2fuTNk30Trc1AwOTQ46i2zBwTXE_WTO6tkyCfRIOTLORuOwzI0_bYmAgr1swtsLEbGz5DZyiYz6gBSGEYXS0a_dkbWp6DUxUEMmDzwrxf-GLvH3t8-6lSfgdsZu8W-2kynGt-YHrjzZbcBiBpatjx-R0TWVbahTLAKxfuibGwVJ5NSgabEAS40Hnvw37gipkQPVQMpMlTzb7WI2Y1aGMNa32tLMQHNkWyw7OdOLZX4OyQmJUtWF3pVuurVmhxitzjldI66Irum11SHO-x63WA0Rki9B87sgYepS5bsLuU11cJCnvNAFXi-KKu2Jg469J6vm6aSsUYJfhYiFDHEdnsJsiOWe1wZ2gPN5ThFBXEBuBhAz89C1DzdRRyUPKDga9zF_fSHQgU8RpgCybglyf5SwPybO4niO8cd8s0zouSZkWJfjwFE0Ahyt8_5ue41U2vpoMxdsGJQQfixNYGqKhh1EAPsIFm4-XbTKS9V8sSKEYvcHPU7Wl1OEiHvj_4NpuIHqT3l-TnZeubwkZr5fQDoAFoiGf7XUaw2E7CRRHS8qsSOFku4SMvXs7MlCvj_Nh0Iuy9jd1wnW9EsPtGwBt-QM9NbmRGDs1oqWLCME1M5RH-_gbkY0VK4aesgfaOso9-isuOuDMmtiQKWO4X4y81gX6e50l0vOMVbGnLkpeKsXTe0fRxVOq3Sr25I5k11bbA4lVIHQ_eZUa-nv9IXIquGCPt7fNNymgkShjnZLWRN_R6yaoXs2f-2xYDFib-6Gun_oU0l3aL-WNYSofDFp4c9stkQ8CD7e6QFSGAgrB-wS6iyri3NwfgkH4w9OvSf1viteCrkw2CkSz1dNCgweh9vBwO4pzdRT2_pTCqiqFUap1LaGEvRPNYRJ2Zd2JkTSPxCCP1BRXng4o0zx-5yRxPVBRIjCI_g6jZPkFF7pUCPvNQWF1CEoNsz7kImOQJ1MJ935n-MIGR0QujAjOv2RIIn4ipJMTbchIby_rFh5M70d0v-UwXaGS9BZ_u3QkqdQabFEIGdBqmIB4wp-IKIDKQcrpwnOPUzDUtp6yIHBFMgOPgvNrvdV0qsBhJ7ObF0nV3LYbYhjkd-fgxfQcm9NGKycF1gAcrNc8opU99fSONfSGCCac6BMEheYyPC1tG16sJkDb3Da7qGBGlMGKNPXFsT3-ZF0FhZaqxI2TRGwldWk4Vmk8yFmW6r3ByAtanweo_TZ7whCbGxUfMyfwpTq6od9Ug_6zNZsMuxHhpnmct9SgbZcHUk3d9MwQ-MKhAwB9WYDWDVaD8uC7hcdKFWgbviNNVLKDGmhH99ziCptF1tEvbSwKDbJgYdSN6aR36LbuvJTokUfsRpPU96DsU0zOhE4GLkLcuoTUpJvSfqF-1TcKyeRqQ8=\",\"summary\":[]}"},{"type":"toolCall","id":"call_159HRaqlKXBx6zah4xcW2PZe|fc_044715aa23543a330169f80926d598819583964304e4a1c740","name":"exec","arguments":{"command":"cat >> /home/rurouni/memory/2026-05-03.md <<'EOF'\n\n## Memory stack double-check โ€” 2026-05-03 19:49\n\n- Rechecked Raymond's original memory-system prompt against current state.\n- Current stack healthy: Qdrant container on 127.0.0.1:6333/6334; Mem0 bridge on 127.0.0.1:8765; QMD Light index at `/data/openclaw-memory/qmd/cache/qmd/index.sqlite`; OpenClaw gateway healthy; local Qwen3.5-9B still using ~9GB VRAM with ~2GB free.\n- Mem0 uses Qdrant collection `openclaw_mem0` with 1024-dim vectors, on-disk vectors/payload, and CPU HF embedder `/models/embeddings/Qwen3-Embedding-0.6B-hf`; compact `/relevant_memory` endpoint returns the desired `` format.\n- QMD Light BM25 search works via `/data/openclaw-memory/bin/qmd-light search ...`; QMD has 724 markdown files indexed and 0 vectors, so it is not using vector/reranker/heavy query by default.\n- Lossless Claw package `@martian-engineering/lossless-claw` version `0.9.3` is installed from `/data/openclaw-memory/tools/npm/...`; OpenClaw config has plugin entry enabled, but `plugins.slots.contextEngine` remains `legacy`, so LCM is not active yet.\n- OpenClaw config was not changed for automatic Mem0 injection or LCM. Current memory stack remains safe sidecar/manual-helper mode.\n- Fixed a backup gap: `/data/openclaw-memory/bin/backup` now includes the `memory/` daily notes tree, plugin install registry, Mem0 user systemd unit, npm package lock, and tarball of OpenClaw memory files. Verified backup `/backup/openclaw-memory/stack-20260503-194846` includes daily notes and stack files.\n- Added `/data/openclaw-memory/bin/mem0-relevant` for compact relevant-memory retrieval and `/data/openclaw-memory/bin/hygiene-report` for non-destructive weekly hygiene reporting. Hygiene smoke test created `/backup/openclaw-memory/hygiene-20260503-194847/report.md` with 1 pinned row, no duplicates, no stale candidates.\nEOF","workdir":"/home/rurouni","yieldMs":1000,"timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":2796,"output":943,"cacheRead":51712,"cacheWrite":0,"totalTokens":55451,"cost":{"input":0.013980000000000001,"output":0.02829,"cacheRead":0.025856,"cacheWrite":0,"total":0.068126}},"stopReason":"toolUse","timestamp":1777862940574,"responseId":"resp_044715aa23543a330169f8091d1c4881958965a31dda61c78f"}} {"type":"message","id":"b2179515","parentId":"31d2a544","timestamp":"2026-05-04T02:49:19.107Z","message":{"role":"toolResult","toolCallId":"call_159HRaqlKXBx6zah4xcW2PZe|fc_044715aa23543a330169f80926d598819583964304e4a1c740","toolName":"exec","content":[{"type":"text","text":"(no output)"}],"details":{"status":"completed","exitCode":0,"durationMs":11,"aggregated":"","cwd":"/home/rurouni"},"isError":false,"timestamp":1777862959107}} {"type":"message","id":"9761e582","parentId":"b2179515","timestamp":"2026-05-04T02:50:07.308Z","message":{"role":"user","content":[{"type":"text","text":"Continue the OpenClaw runtime event."}],"timestamp":1777863007306}} {"type":"message","id":"c1299139","parentId":"9761e582","timestamp":"2026-05-04T02:50:25.801Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f80960a4788195b56fa1bb59e2548c\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-AlpL9CbxSYEW_icJR7D_r8Qbs-mBE2yIxHSdfPcSHxJ1Fo8dQakMoiq5ml_JneZerjMvHDi_H7tTCGWy4qS-NcaIb7WNvHX85wriAICW2HKu5xDhA9xX3D0h0M85l26k_7Ndkobp6TIAe4_fF6Lw5Sdorv8kjh3B-BDsW1VuJHJV2jt8fuZ6NfAxId1_UK-JXhdJ2qR3kSUPYYnghs-KPgF_yVgzROe16P51NgHBx-qYVH5ocOoFzt5cKzVr0X1iwRpSvnUvB8clg9s4HXz7x39iEIrNI-xOmvLS1YvFkNEsNBi22upzoRDIqOzp6M88k7a3d9-fRrCIaQQ_XnwCMqRdbrkODYGwPf23W0639LEBQryi1QTYDs6Y0LGmPLbEHYe81nBoe9xPKOO8zIWjGuV3mVT4PNv5WjRbOQoow-M5T9onJRXAQf0NFIYSgNVq1G1sxs-cruuU-IE1bTARA2d0X9Pj9TdJmECmH1jsGJBohJrpwIUxproXfMJaYWa4Ckk7Wvipot_tSCVcSyRxYCGJjiysWwh4p5_foHziqBA27APc0irfbEYY6dzkHu7eU8mp9Nx2slesTkK1Qz8RywXv4L4UF3yfF_Nbe-h2-tnhlxFzmnqLoC-LL0CNuJN_88G7DkVeoOEIkpgV7g4fEYrDAAnpd0bbTePNAeIsEhgDpVOjsKZ4jZVnqG0CYAci-3P1cgCW5Asi4yjrFzhEStwGmO_tdnka92gDbjE45nhFUx4a6s-2lCi3WM3GIlfM0DmY246LunfrZy1VemHkf5p5HEgSHa8NOW_1HL_T0eE44EeEYGHfbGkmGqq0xv9m7oK0U49q4cE3VMofANPzq1OHi6bnlNxi0hTxopOtigoQdc74qxKZhGLhwvdtd62rhzPiknAisGIFofPgjKKlejC3ofL3Dk8RWoPRwFUezXEv7flsIzwZHhbzY4cgq-1QUUkSEnll_LsyVEyf5ZnZqTygqCphmyLVCAgwxwFVt3IET3h6rPdrIxRfFPswQa5AL2fRwCix7HxFRJZ67m9G5RED2sLMnMMyj_UJXrCHAAFp3Po5ReOLNSQLY_F8RjGCXBRPCiVrhj8HNeNbcduNBwepJUt0NrIIQ9N3es0cQ1EBtJHqPpbW5G4zD5VUFLCAsvsuCCbfn2hnt3mIGvmr0LZpQsG8Y-yCFt5maIBYaMiMAkMdLKFtiS_PYEGsUkAb4FyXTWU7zrv8_hRfoooDkOp4yUuSBGPOTbbq048EI4mMUXnEFAb3XMGzlpSpkbr5HCznH1hR7WOP6RrOFc4jWK8K4LY68ad6U5y137FBQWvInAibIbgZ6UE0l0LLqQUbT8jbZYSGav94aKw9Iu_h8w8u8ZjY9b5ga8BeiG65Xvs9VoYytODSnZkx-q794zSyYkTe0ynsUXMW2rRib6Wj1Td5QiuB-IhUHDtcRp4uzRQ_jjmejPJ349jUkc4Dnj0BWc6YfHdDRIxQrmfyuTsDFjjIcNzDk285vniNsHs790qQw64QyxtalReOr-wFU4iUoqVlQo4POyfaR_2UccIi_8zm_JUGHcXPqL8CkxFDd0Viu2KSvZwBIvbSsofP-afcoFUwBoEoyQYwqlR2jdMvMgXHAyPTwp1pm0Txcq-xqHQ16BQDcnjBFvbL8gz1ZpSSCX0Y5WxuOYlu3-HHYgqPSW8xTRlVqEUSoVE7K-jmVZ33xAE-ec7V5k_RQ2wnjkMR7p8d-PSfhF8k954OL_qLxAdMfYeWhjBQfN0b90MUZA1y2yltVJljZ1cyGXjCLDETAjbYISPz20ObU14c0eKrfqp6TdKR-CNCrfwWiIinn8_e-VsRTHF2riXbFHPH_yka5w69lwRT3nzWzx91rnlCBscZxpvCRH-fMVvqynZdJok0Tm515rPZFOzT-HdG-v3aa0YpXNbvvyMMscsTxMxtjS_Q-0Qg1fnxV9Rxhh0bmSiYJ9_fdPSzdKi-x59t7lPyrBl4M1ddv4rxelVWnt8303cso7rkZ6j4jCfMsDcMRr8xXouunBF0j7a8BDGD4IE4wWpHlWRVYgDcev1LFknKppJ6ZgI39TeFz_rbLu9zEooWf5mt8NkSxOvXS7Q9vO2aWuPcRkC59xDwcwTo3x_Kyrb9ArtmIWwAEf7EKXvy2TUwvz1n9ul4_W4Bw0I_I6vv8vJ7tXlrg1dZCJLiXK1x-szzj7XI4PF8CwlOSrHQ71cHybT_BMLNbMfpTlETVgGLVo8qM50n507SNJ5pAt3Y56D_-FhX6caGrPHXNBEyK8u8fm8-xVzfRVNuSynIQ5brwJRfXSi1wz4gdDkM4gvXsUCTDqksppwubHPJsVQIHnI7bilWrAubxgXBzeuC77huRT5_yPDr1J7q2nH4TK-KyNXSIJH2eN2HUcGZwFtCmR_IL481xvjRE8m_VYXNCxj62DZzvqooRlNl0gLJIaNbMX072cb2I28NlLVzUHjdMI32azm-a9yGjg77BdZBzCj2Hcwfj-zbN5kZb7ernoXmZmlPm9dKAHxqnQPYxN0U5BkAlItp-450I9jSlwHy_wAHOatibFWsZdykNj5HfvidhczV5vxekuX7RCp9yeEY3_BzX2Xq0xA5fMbqN8LR1In1fbI\",\"summary\":[]}"},{"type":"toolCall","id":"call_qtcErLVZ14GVTK7rqV08RkkD|fc_044715aa23543a330169f8096927ec8195b87b19f5f6df7bfd","name":"write","arguments":{"path":"/home/rurouni/memory/2026-05-03.md","content":"\n## Pre-compaction flush โ€” OpenClaw memory rebuild continuation (2026-05-03 19:50 PDT)\n\n- Raymond asked what model is active: current main runtime model is `openai-codex/gpt-5.5`; configured fallbacks remain DeepSeek V4 Pro, MiniMax M2.7, then local Qwen3.5-9B.\n- Raymond re-shared the original memory-system prompt. Confirmed target architecture: Mem0 OSS + Qdrant for long-term memory; Qwen3-Embedding-0.6B; QMD Light for workspace/doc search; Lossless Claw/LCM for long-session compaction; tiny OpenClaw base memory; strict token budgets; backups/hygiene/status/rollback scripts; no heavy QMD query/reranker; no destructive changes without approval.\n- Inspection immediately before compaction: sidecar stack exists and appears configured: Qdrant compose at `/data/openclaw-memory/config/docker-compose.yml`; Mem0 config at `/data/openclaw-memory/config/mem0-config.yaml`; Mem0 FastAPI bridge at `/data/openclaw-memory/mem0/service.py`; QMD Light wrapper at `/data/openclaw-memory/bin/qmd-light`; scripts under `/data/openclaw-memory/bin/`.\n- OpenClaw config read from `/home/rurouni/.openclaw/openclaw.json`: primary model still `openai-codex/gpt-5.5`; context tuning remains 128k with compaction/memoryFlush enabled; no OpenClaw config changes were made during this continuation before compaction.\n- Found a deliverable gap: backup script backed up `MEMORY.md` and persona/config files but not the full `/home/rurouni/memory/` daily-notes tree. Began patching `/data/openclaw-memory/bin/backup` to include daily notes, plugin installs, user systemd mem0 service, tool package files, and tar archives. First patched version used `rsync`; realized `rsync` is not installed, so after compaction fix backup script to avoid `rsync` and smoke-test it before claiming done.\n- Created `/data/openclaw-memory/bin/mem0-relevant`, a compact helper that POSTs to Mem0 bridge `/relevant_memory` with default limit 5 and max chars 1800, matching the desired compact `` injection shape. Needs chmod/executable verification after compaction.\n- Created `/data/openclaw-memory/bin/hygiene-report`, a non-destructive weekly hygiene/report script: runs backup first, exports Mem0 rows, reports exact duplicate candidates, stale/temporary candidates, and pinned memories. It does not delete or modify memories. Needs chmod/executable verification and smoke-test after compaction.\n- Important unfinished items after compaction: fix backup script without `rsync`; chmod/check scripts; run `/data/openclaw-memory/bin/status`; smoke-test Qdrant, Mem0 `/health` and `/relevant_memory`, QMD Light status/search, backup, hygiene-report; inspect LCM plugin/config compatibility; decide with Raymond before enabling OpenClaw Mem0 injection or LCM contextEngine because config integration was intentionally not modified yet.\n"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":22910,"output":984,"cacheRead":0,"cacheWrite":0,"totalTokens":23894,"cost":{"input":0.11455000000000001,"output":0.02952,"cacheRead":0,"cacheWrite":0,"total":0.14407}},"stopReason":"toolUse","timestamp":1777863007309,"responseId":"resp_044715aa23543a330169f8095f99ac8195a62efc13d6aa45b8"}} {"type":"message","id":"4a3636f4","parentId":"c1299139","timestamp":"2026-05-04T02:50:25.880Z","message":{"role":"toolResult","toolCallId":"call_qtcErLVZ14GVTK7rqV08RkkD|fc_044715aa23543a330169f8096927ec8195b87b19f5f6df7bfd","toolName":"write","content":[{"type":"text","text":"Appended content to memory/2026-05-03.md."}],"details":{"path":"memory/2026-05-03.md","appendOnly":true},"isError":false,"timestamp":1777863025880}} {"type":"message","id":"e896100d","parentId":"4a3636f4","timestamp":"2026-05-04T02:50:31.681Z","message":{"role":"user","content":[{"type":"text","text":"[Sun 2026-05-03 19:50 PDT] did you figure it out"}],"timestamp":1777863031678}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Sender (untrusted metadata):\n```json\n{\n \"label\": \"openclaw-tui\",\n \"id\": \"openclaw-tui\",\n \"name\": \"openclaw-tui\",\n \"username\": \"openclaw-tui\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"67e19ee3","parentId":"e896100d","timestamp":"2026-05-04T02:50:31.682Z"} {"type":"message","id":"510a9740","parentId":"67e19ee3","timestamp":"2026-05-04T02:50:43.108Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_044715aa23543a330169f8097a4c5c819587eadfb12d76bf6a\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-Al9b5RbH3Utfx_UIktOV4qwSQDkMwb-92xNFHKAt-D4Ppi--PFZ1y9O964C5YYw1S7huNw23m_m7l6EHbdmIVwSNd-a_A0tzDSEKoBZx10AFVebwPOJrdvfz5cR6HNu1OPevP-fwskPl74NJU5zVnPCiscWlmYmiYEnudGROZcVvUMUo9qLC8qtdb69864wxEkJEp82AovBuqH6nmf9ryK7gm0cD_QNarYGC6IVZutDMci-m8nhJRlC7pAhii2MASJHet2HLedw8FCDKlhgyfqsvrj3zVrkiVSaH8jpSjvi3JjILIcZd4ihYqmK18EKw7FWJSSLLkFTJLwTxDQmwlFjUholGUcrXSIz3vHuUwOFvx9TT_CoWMWQ-NCb2zqAef4u7Es75irlox7LfnyhauUPyaAYTVXzgkALEuJEyqdw1g8bL_UtHS4M4vTtt2Y2UYYzXNsW10xI-aowAez3zThiDbq--NUeOjIq_Vslw71fQRDEQy_0ZX5rLW5HDW5HkoUo6N1lpY4mzgwrnyZU4qJ46Xsp5S4KgUqbna_CinaFguywkagJAnvgAtFS6zWZ9o32CGWoPQHRNUpxv9AsP7_dTvF-mtkuH1csugVtPQuPzj-_pZuAe4G6iHbFJUtHQErC-RrR6BIPl3iTWVvhkIewseRZcC3gSjVaF4vq3n5d3MaOJwk6D1MiaZDD7s9Cdi-8gSzDYTNLIHo_aVJsWkeZDhguUDmNz9Bd3JP4oJxk2rpjxcc7WNSHd0MSjcv4-QUpJd2WjJl01wTbRtgs6GS4wHAuRSXNjQfovJXpmhX-WbM_iFNPQsn1teEohU1OjGnHvYE533FadfQFAE-dy4DJMQa9L1HNKr_qeRexZDnSkDUxmWFqYeRBgSliZfhhiG46f7LBa-xFI9qQNeafx_6RwGeIGVbJo3vLsZWMyVNVFjion6WXLSs8DkUsUu9V_K33MxWJYZkk0z1jCJgBTrotDQt6P8DxXkJvZtTsGlbcC2h-S0YgH7Qpix1suNf-81iJoSlCYMAPHjFOQIbeiA6OZsujGvEJIBfFN8elgP3C6f7dosEOBA75uT8cHLjrHjRqYk7E5InIPp7Bu93UVeiptu9OQA0mn6xucF-eslYl03uu92MLVEMwk2Yd-thHYiYAdcKhk6sNRUUQR9HHsqyyj8exlvFG-Pe5otW0LY7OoVdgcEHDzSbr4dxUfouNhpB0vv1p235S9PbXLXSnCKFAV571F__W8LOVtEdVOP0I-UsC1tc9b9NyluD6j_G3O1xfTqYV7uWNxzAGmTQOlwj1HHTLembXINbALymqq8iAckIdnc16YxnOTeACODnfDRc_WfcuZapav9eoFrs0PDK1K8ba71GTVAGjIFSpsu2a0XYtocV1E3d8Dx5mZexlDanDsz3hVsXdE_KhKJpzJpR5VqPRUyqyxoDm4gyfs85NZYgma4p-Vd6eyGeE_PABqdOqSzsN9eXDqLDWaKjRr0IlyBUUBg7tmfRGFxVkpJ_AMQrgq4qNgx9MQaMnICeQigMFN_10XZ-_j2ujmw7GwgOZ0shXhc6IM7EWJYojnQIZqzM3qNqKeVbCZlpvoy7wZrPsOOYocmG2-tMrlBq7AJOOUUB6t_PrlDMlnWTODYZSGGSK43lKNIzszEEYGhQYEWDZbDcPI-bjbcP9mX77RO-PaMF8rozA9f5sxtQCT2hm1OYfHuR1p7fUx1OipV_ospWHSmMErOTGx1j1qEt36EXvi0RPXoPygVdFk-H0YeI4vMrR0GWr_hlsm60HHE2f2qxBu0bxYyBgip8qZerGEa5Fayvgx548AII2FrQWNrASQfxpedYBOsM9gu7fGrE3bLTxBW2vm15sCFISIfIlgH0P3A==\",\"summary\":[]}"},{"type":"text","text":"Yeah โ€” figured it out.\n\nCurrent state:\n\n- โœ… **Qdrant is running/healthy** on `127.0.0.1:6333`\n- โœ… **Mem0 bridge is running/healthy** on `127.0.0.1:8765`\n- โœ… **Qwen3-Embedding-0.6B is installed** and Mem0 is using CPU, which is safe for your ~2GB free VRAM\n- โœ… **QMD Light works in BM25 mode**; no vectors/reranker/heavy query active\n- โœ… **Backups now work** and include daily memory notes too\n- โœ… Added:\n - `/data/openclaw-memory/bin/mem0-relevant`\n - `/data/openclaw-memory/bin/hygiene-report`\n- โš ๏ธ **LCM / Lossless Claw is installed but not active**\n - plugin exists\n - OpenClaw config still has `contextEngine: \"legacy\"`\n- โš ๏ธ **Automatic Mem0 injection into OpenClaw is not enabled yet**\n - right now itโ€™s a safe sidecar/manual-helper setup\n - this was the unfinished part\n\nSo the stack isnโ€™t cooked โ€” itโ€™s mostly built and healthy. The missing final decision is whether you want me to wire it into OpenClaw runtime now.\n\nRecommended next step:\n\n1. Keep QMD manual/tool-only.\n2. Enable LCM carefully.\n3. Add compact Mem0 injection policy only if OpenClaw supports it cleanly; otherwise keep `mem0-relevant` as the safe retrieval helper.\n\nIโ€™d like your approval before changing OpenClaw runtime config, because that can affect every chat turn.","textSignature":"{\"v\":1,\"id\":\"msg_044715aa23543a330169f8097dcc04819595c5b06207ae64b8\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.5","usage":{"input":31353,"output":499,"cacheRead":19968,"cacheWrite":0,"totalTokens":51820,"cost":{"input":0.15676500000000002,"output":0.01497,"cacheRead":0.009984,"cacheWrite":0,"total":0.18171900000000002}},"stopReason":"stop","timestamp":1777863031683,"responseId":"resp_044715aa23543a330169f8097936588195bece98f75542cf63"}}