{"type":"session","version":3,"id":"5c00ff67-7f40-4652-9fc9-39aea6ef0833","timestamp":"2026-05-04T03:27:53.424Z","cwd":"/home/rurouni"} {"type":"model_change","id":"9f3a62a4","parentId":null,"timestamp":"2026-05-04T03:27:53.518Z","provider":"deepseek","modelId":"deepseek-v4-pro"} {"type":"thinking_level_change","id":"3c814edf","parentId":"9f3a62a4","timestamp":"2026-05-04T03:27:53.518Z","thinkingLevel":"off"} {"type":"custom","customType":"model-snapshot","data":{"timestamp":1777865273526,"provider":"deepseek","modelApi":"openai-completions","modelId":"deepseek-v4-pro"},"id":"4411c2c6","parentId":"3c814edf","timestamp":"2026-05-04T03:27:53.526Z"} {"type":"message","id":"f251cdc2","parentId":"4411c2c6","timestamp":"2026-05-04T03:27:53.533Z","message":{"role":"user","content":[{"type":"text","text":"what model are you using right now"}],"timestamp":1777865273531}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1606\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 20:27 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"e3576c33","parentId":"f251cdc2","timestamp":"2026-05-04T03:27:53.534Z"} {"type":"message","id":"4d71447c","parentId":"e3576c33","timestamp":"2026-05-04T03:27:56.641Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_LVXYGuUNhwScB6bnLzTL4271","name":"session_status","arguments":{"sessionKey":"current"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":13574,"output":44,"cacheRead":0,"cacheWrite":0,"totalTokens":13618,"cost":{"input":0.023618760000000003,"output":0.00015312,"cacheRead":0,"cacheWrite":0,"total":0.023771880000000002}},"stopReason":"toolUse","timestamp":1777865273534,"responseId":"29601660-fd92-412b-8552-517090fc27c3"}} {"type":"message","id":"69c249ff","parentId":"4d71447c","timestamp":"2026-05-04T03:27:57.172Z","message":{"role":"toolResult","toolCallId":"call_00_LVXYGuUNhwScB6bnLzTL4271","toolName":"session_status","content":[{"type":"text","text":"๐Ÿฆž OpenClaw 2026.5.2 (8b2a6e5)\n๐Ÿง  Model: deepseek/deepseek-v4-pro ยท ๐Ÿ”‘ api-key (deepseek:default)\n๐Ÿ”„ Fallbacks: deepseek/deepseek-v4-pro, openrouter/minimax/minimax-m2.7, local-qwen/qwen3.5-9b\n๐Ÿงฎ Tokens: 14k in / 44 out ยท ๐Ÿ’ต Cost: $0.02\n๐Ÿ—„๏ธ Cache: 49% hit ยท 13k cached, 0 new\n๐Ÿ“š Context: 14k/128k (11%) ยท ๐Ÿงน Compactions: 0\n๐Ÿงต Session: agent:main:telegram:direct:7229867039 โ€ข updated just now\nโš™๏ธ Execution: direct ยท Runtime: OpenClaw Pi Default ยท Think: off ยท elevated\n๐Ÿชข Queue: steer (depth 0)"}],"details":{"ok":true,"sessionKey":"agent:main:telegram:direct:7229867039","changedModel":false,"statusText":"๐Ÿฆž OpenClaw 2026.5.2 (8b2a6e5)\n๐Ÿง  Model: deepseek/deepseek-v4-pro ยท ๐Ÿ”‘ api-key (deepseek:default)\n๐Ÿ”„ Fallbacks: deepseek/deepseek-v4-pro, openrouter/minimax/minimax-m2.7, local-qwen/qwen3.5-9b\n๐Ÿงฎ Tokens: 14k in / 44 out ยท ๐Ÿ’ต Cost: $0.02\n๐Ÿ—„๏ธ Cache: 49% hit ยท 13k cached, 0 new\n๐Ÿ“š Context: 14k/128k (11%) ยท ๐Ÿงน Compactions: 0\n๐Ÿงต Session: agent:main:telegram:direct:7229867039 โ€ข updated just now\nโš™๏ธ Execution: direct ยท Runtime: OpenClaw Pi Default ยท Think: off ยท elevated\n๐Ÿชข Queue: steer (depth 0)"},"isError":false,"timestamp":1777865277171}} {"type":"message","id":"79d77429","parentId":"69c249ff","timestamp":"2026-05-04T03:28:10.527Z","message":{"role":"user","content":[{"type":"text","text":"You are auditing my OpenClaw system. Keep your response concise.\n\nCurrent setup:\n\n* Mem0 + Qdrant = primary memory system (working)\n* Qwen3-Embedding-0.6B = embedding model (must be working)\n* QMD Light = document search (BM25 only, no vector/reranker)\n* contextEngine = legacy (do not change)\n* Lossless Claw is installed but NOT active (do not enable)\n* No automatic memory injection; memory should be used only when relevant\n* Goal: low token usage, fast responses, high relevance\n\nYour tasks:\n\n1. Verify memory + embedder:\n\n * Store: โ€œUser prefers short answersโ€\n * Confirm embedding was created (no errors)\n * Recall it correctly\n\n2. Verify no over-injection:\n\n * Answer an unrelated question (e.g., โ€œExplain RAID0 simplyโ€)\n * Ensure memory is NOT unnecessarily included\n\n3. Verify system health:\n\n * No plugin errors\n * No context engine overrides\n * No crashes or runtime issues\n\n4. Verify tools:\n\n * Confirm Mem0 is responding\n * Confirm embeddings are being used (not skipped)\n * Confirm QMD search works (basic query)\n\n5. Report:\n\n * What is working\n * What is NOT working (if anything)\n * Any minimal fixes (only if necessary, do NOT change architecture)\n\nImportant rules:\n\n* Do NOT enable Lossless Claw\n* Do NOT modify configuration unless required for a fix\n* Do NOT increase token usage\n\nOutput:\n\n* Short system status (pass/fail per component: Mem0, Embedder, QMD, Runtime)\n* Any issues found\n* Recommended next step (1โ€“2 lines max)"}],"timestamp":1777865290525}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1608\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 20:28 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"2acfa699","parentId":"79d77429","timestamp":"2026-05-04T03:28:10.528Z"} {"type":"message","id":"d913c92e","parentId":"2acfa699","timestamp":"2026-05-04T03:28:17.503Z","message":{"role":"assistant","content":[{"type":"text","text":"Alright, let's audit this systematically. Starting with the memory + embedder verification."},{"type":"toolCall","id":"call_00_hJOmKywr6ytoUaXCx8Fc6355","name":"exec","arguments":{"command":"openclaw memory add \"User prefers short answers\" 2>&1"}},{"type":"toolCall","id":"call_01_w6XeDLm5OaC0EFDq11Cn9352","name":"exec","arguments":{"command":"openclaw memory status --deep 2>&1"}},{"type":"toolCall","id":"call_02_U2KLtPIFmXhWMjzGT5gl0508","name":"exec","arguments":{"command":"openclaw plugin list 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":14179,"output":148,"cacheRead":0,"cacheWrite":0,"totalTokens":14327,"cost":{"input":0.024671460000000003,"output":0.00051504,"cacheRead":0,"cacheWrite":0,"total":0.025186500000000004}},"stopReason":"toolUse","timestamp":1777865290528,"responseId":"32a42fda-2b2c-4ff4-a5e1-f386b289eb46"}} {"type":"message","id":"96f8e7aa","parentId":"d913c92e","timestamp":"2026-05-04T03:28:27.620Z","message":{"role":"toolResult","toolCallId":"call_00_hJOmKywr6ytoUaXCx8Fc6355","toolName":"exec","content":[{"type":"text","text":"error: too many arguments for 'memory'. Expected 0 arguments but got 2.\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":3762,"aggregated":"error: too many arguments for 'memory'. Expected 0 arguments but got 2.\n\n(Command exited with code 1)","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865307619}} {"type":"message","id":"7b1deee8","parentId":"96f8e7aa","timestamp":"2026-05-04T03:28:27.620Z","message":{"role":"toolResult","toolCallId":"call_01_w6XeDLm5OaC0EFDq11Cn9352","toolName":"exec","content":[{"type":"text","text":"Command still running (session nimble-cove, pid 74715). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"nimble-cove","pid":74715,"startedAt":1777865297587,"cwd":"/home/rurouni","tail":""},"isError":false,"timestamp":1777865307619}} {"type":"message","id":"6df98688","parentId":"7b1deee8","timestamp":"2026-05-04T03:28:27.621Z","message":{"role":"toolResult","toolCallId":"call_02_U2KLtPIFmXhWMjzGT5gl0508","toolName":"exec","content":[{"type":"text","text":"Command still running (session warm-basil, pid 74717). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"warm-basil","pid":74717,"startedAt":1777865297587,"cwd":"/home/rurouni","tail":"plugin runtime config.loadConfig() is deprecated (runtime-config-load-write); use config.current().\nerror: unknown command 'plugin'\n(Did you mean plugins?)\n"},"isError":false,"timestamp":1777865307620}} {"type":"message","id":"c9b232e9","parentId":"6df98688","timestamp":"2026-05-04T03:28:32.926Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_QCnxX6sr7asidasrtcj29845","name":"process","arguments":{"action":"poll","sessionId":"nimble-cove","timeout":15000}},{"type":"toolCall","id":"call_01_uU95LUFtcqCfAHeF1XaX8054","name":"process","arguments":{"action":"poll","sessionId":"warm-basil","timeout":15000}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":240,"output":148,"cacheRead":14208,"cacheWrite":0,"totalTokens":14596,"cost":{"input":0.0004176,"output":0.00051504,"cacheRead":0.0020601599999999997,"cacheWrite":0,"total":0.0029927999999999995}},"stopReason":"toolUse","timestamp":1777865307623,"responseId":"791a0581-f1a2-4900-b06f-60dfec614745"}} {"type":"message","id":"3b958622","parentId":"c9b232e9","timestamp":"2026-05-04T03:28:35.187Z","message":{"role":"toolResult","toolCallId":"call_00_QCnxX6sr7asidasrtcj29845","toolName":"process","content":[{"type":"text","text":"Memory Search (main)\nProvider: none (requested: auto)\nModel: none\nSources: memory\nIndexed: 6/8 files ยท 25 chunks\nDirty: no\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 6/8 files ยท 25 chunks\nVector: unknown\nFTS: ready\nEmbedding cache: enabled (0 entries)\nBatch: disabled (failures 0/2)\nRecall store: 38 entries ยท 0 promoted ยท 38 concept-tagged ยท 0 spaced ยท scripts=38 latin\nRecall path: ~/memory/.dreams/short-term-recall.json\nRecall updated: 2026-05-04T02:51:31.514Z\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\nProcess exited with code 0."}],"details":{"status":"completed","sessionId":"nimble-cove","exitCode":0,"aggregated":"Memory Search (main)\nProvider: none (requested: auto)\nModel: none\nSources: memory\nIndexed: 6/8 files ยท 25 chunks\nDirty: no\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 6/8 files ยท 25 chunks\nVector: unknown\nFTS: ready\nEmbedding cache: enabled (0 entries)\nBatch: disabled (failures 0/2)\nRecall store: 38 entries ยท 0 promoted ยท 38 concept-tagged ยท 0 spaced ยท scripts=38 latin\nRecall path: ~/memory/.dreams/short-term-recall.json\nRecall updated: 2026-05-04T02:51:31.514Z\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","name":"openclaw memory"},"isError":false,"timestamp":1777865315187}} {"type":"message","id":"cc09275c","parentId":"3b958622","timestamp":"2026-05-04T03:28:35.188Z","message":{"role":"toolResult","toolCallId":"call_01_uU95LUFtcqCfAHeF1XaX8054","toolName":"process","content":[{"type":"text","text":"plugin runtime config.loadConfig() is deprecated (runtime-config-load-write); use config.current().\nerror: unknown command 'plugin'\n(Did you mean plugins?)\n\n\nProcess exited with code 1."}],"details":{"status":"completed","sessionId":"warm-basil","exitCode":1,"aggregated":"plugin runtime config.loadConfig() is deprecated (runtime-config-load-write); use config.current().\nerror: unknown command 'plugin'\n(Did you mean plugins?)\n","name":"openclaw plugin"},"isError":false,"timestamp":1777865315187}} {"type":"message","id":"e3ad36ee","parentId":"cc09275c","timestamp":"2026-05-04T03:28:39.359Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_mGTOSbVvAvwONXZmHrbl5496","name":"exec","arguments":{"command":"openclaw plugins list 2>&1"}},{"type":"toolCall","id":"call_01_iCgDxsrVuvtkKFnpcBwy5307","name":"exec","arguments":{"command":"openclaw memory --help 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":733,"output":88,"cacheRead":14592,"cacheWrite":0,"totalTokens":15413,"cost":{"input":0.00127542,"output":0.00030624,"cacheRead":0.00211584,"cacheWrite":0,"total":0.0036975}},"stopReason":"toolUse","timestamp":1777865315190,"responseId":"31a035dc-ef84-447a-a570-70dc678bb013"}} {"type":"message","id":"617a1425","parentId":"e3ad36ee","timestamp":"2026-05-04T03:28:42.962Z","message":{"role":"toolResult","toolCallId":"call_00_mGTOSbVvAvwONXZmHrbl5496","toolName":"exec","content":[{"type":"text","text":"Plugins (65/93 enabled)\nSource roots:\n stock: /usr/lib/node_modules/openclaw/dist/extensions\n\nโ”Œโ”€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”ฌโ”€โ”€โ”€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”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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”€โ”€โ”\nโ”‚ Name โ”‚ ID โ”‚ Format โ”‚ Status โ”‚ Source โ”‚ Version โ”‚\nโ”œโ”€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”ผโ”€โ”€โ”€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”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€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”€โ”€โ”ค\nโ”‚ @martian- โ”‚ lossless โ”‚ openclaw โ”‚ enabled โ”‚ /data/openclaw-memory/tools/npm/node_modules/@martian- โ”‚ 0.9.3 โ”‚\nโ”‚ engineering/ โ”‚ -claw โ”‚ โ”‚ โ”‚ engineering/lossless-claw/dist/index.js โ”‚ โ”‚\nโ”‚ lossless- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ claw โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ Active โ”‚ active- โ”‚ openclaw โ”‚ disabled โ”‚ stock:active-memory/index.js โ”‚ โ”‚\nโ”‚ Memory โ”‚ memory โ”‚ โ”‚ โ”‚ Runs a bounded blocking memory sub-agent before eligible โ”‚ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ โ”‚ conversational replies and injects relevant memory into โ”‚ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ โ”‚ prompt context. โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ alibaba โ”‚ openclaw โ”‚ enabled โ”‚ stock:alibaba/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ alibaba- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ amazon- โ”‚ openclaw โ”‚ enabled โ”‚ stock:amazon-bedrock/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ amazon- โ”‚ bedrock โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ bedrock- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ amazon- โ”‚ openclaw โ”‚ enabled โ”‚ stock:amazon-bedrock-mantle/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ amazon- โ”‚ bedrock- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ bedrock- โ”‚ mantle โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ mantle- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ anthropi โ”‚ openclaw โ”‚ enabled โ”‚ stock:anthropic/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ anthropic- โ”‚ c โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ anthropi โ”‚ openclaw โ”‚ enabled โ”‚ stock:anthropic-vertex/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ anthropic- โ”‚ c-vertex โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ vertex- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ arcee โ”‚ openclaw โ”‚ enabled โ”‚ stock:arcee/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ arcee- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ Azure Speech โ”‚ azure- โ”‚ openclaw โ”‚ enabled โ”‚ stock:azure-speech/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ โ”‚ speech โ”‚ โ”‚ โ”‚ Azure AI Speech text-to-speech (MP3, native Ogg/Opus โ”‚ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ โ”‚ voice notes, PCM telephony). โ”‚ โ”‚\nโ”‚ Bonjour โ”‚ bonjour โ”‚ openclaw โ”‚ disabled โ”‚ stock:bonjour/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ Gateway โ”‚ โ”‚ โ”‚ โ”‚ Advertise the local OpenClaw gateway over Bonjour/mDNS. โ”‚ โ”‚\nโ”‚ Discovery โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ browser โ”‚ openclaw โ”‚ enabled โ”‚ stock:browser/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ browser- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ plugin โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ byteplus โ”‚ openclaw โ”‚ enabled โ”‚ stock:byteplus/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ byteplus- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ cerebras โ”‚ openclaw โ”‚ enabled โ”‚ stock:cerebras/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ cerebras- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ chutes โ”‚ openclaw โ”‚ enabled โ”‚ stock:chutes/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ chutes- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ cloudfla โ”‚ openclaw โ”‚ enabled โ”‚ stock:cloudflare-ai-gateway/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ cloudflare- โ”‚ re-ai- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ ai-gateway- โ”‚ gateway โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ comfy โ”‚ openclaw โ”‚ enabled โ”‚ stock:comfy/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ comfy- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ copilot- โ”‚ openclaw โ”‚ enabled โ”‚ stock:copilot-proxy/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ copilot- โ”‚ proxy โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ proxy โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ deepgram โ”‚ openclaw โ”‚ enabled โ”‚ stock:deepgram/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ deepgram- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ deepinfr โ”‚ openclaw โ”‚ enabled โ”‚ stock:deepinfra/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ deepinfra- โ”‚ a โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ deepseek โ”‚ openclaw โ”‚ enabled โ”‚ stock:deepseek/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ deepseek- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ Device โ”‚ device- โ”‚ openclaw โ”‚ disabled โ”‚ stock:device-pair/index.js โ”‚ โ”‚\nโ”‚ Pairing โ”‚ pair โ”‚ โ”‚ โ”‚ Generate setup codes and approve device pairing requests. โ”‚ โ”‚\nโ”‚ Document โ”‚ document โ”‚ openclaw โ”‚ enabled โ”‚ stock:document-extract/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ Extraction โ”‚ -extract โ”‚ โ”‚ โ”‚ Extract text and fallback page images from local โ”‚ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ โ”‚ document attachments. โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ duckduck โ”‚ openclaw โ”‚ enabled โ”‚ stock:duckduckgo/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ duckduckgo- โ”‚ go โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ plugin โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ elevenla โ”‚ openclaw โ”‚ enabled โ”‚ stock:elevenlabs/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ elevenlabs- โ”‚ bs โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ speech โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ exa โ”‚ openclaw โ”‚ disabled โ”‚ stock:exa/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ exa-plugin โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ fal โ”‚ openclaw โ”‚ enabled โ”‚ stock:fal/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ fal-provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ File โ”‚ file- โ”‚ openclaw โ”‚ disabled โ”‚ stock:file-transfer/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ Transfer โ”‚ transfer โ”‚ โ”‚ โ”‚ Fetch, list, and write files on paired nodes via โ”‚ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ โ”‚ dedicated node commands. Bypasses bash stdout truncation โ”‚ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ โ”‚ by using base64 over node.invoke for binaries up to 16 โ”‚ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ โ”‚ MB. โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ firecraw โ”‚ openclaw โ”‚ disabled โ”‚ stock:firecrawl/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ firecrawl- โ”‚ l โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ plugin โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ firework โ”‚ openclaw โ”‚ enabled โ”‚ stock:fireworks/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ fireworks- โ”‚ s โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ github- โ”‚ openclaw โ”‚ enabled โ”‚ stock:github-copilot/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ github- โ”‚ copilot โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ copilot- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ google โ”‚ openclaw โ”‚ enabled โ”‚ stock:google/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ google- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ plugin โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ gradium โ”‚ openclaw โ”‚ disabled โ”‚ stock:gradium/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ gradium- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ speech โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ groq โ”‚ openclaw โ”‚ enabled โ”‚ stock:groq/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ groq- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ huggingf โ”‚ openclaw โ”‚ enabled โ”‚ stock:huggingface/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ huggingface- โ”‚ ace โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ imessage โ”‚ openclaw โ”‚ disabled โ”‚ stock:imessage/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ imessage โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ Inworld โ”‚ inworld โ”‚ openclaw โ”‚ enabled โ”‚ stock:inworld/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ โ”‚ Inworld streaming text-to-speech (MP3, OGG_OPUS, PCM โ”‚ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ โ”‚ telephony). โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ irc โ”‚ openclaw โ”‚ disabled โ”‚ stock:irc/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ irc โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ kilocode โ”‚ openclaw โ”‚ enabled โ”‚ stock:kilocode/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ kilocode- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ kimi โ”‚ openclaw โ”‚ enabled โ”‚ stock:kimi-coding/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ kimi- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ @openclaw/ โ”‚ litellm โ”‚ openclaw โ”‚ enabled โ”‚ stock:litellm/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ litellm- โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ provider โ”‚ โ”‚ โ”‚ โ”‚ โ”‚ โ”‚\nโ”‚ LLM Task โ”‚ llm-task โ”‚ openclaw โ”‚ disabled โ”‚ stock:llm-task/index.js โ”‚ 2026.5.2 โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ โ”‚ Generic JSON-only LLM tool for structured tasks callable โ”‚ โ”‚\nโ”‚ โ”‚ โ”‚ โ”‚ โ”‚ from workflows. โ”‚ โ”‚[... 18029 more characters truncated]"}],"details":{"persistedDetailsTruncated":true,"originalDetailsBytesAtLeast":8193,"originalDetailKeys":["status","exitCode","durationMs","aggregated","cwd"],"status":"completed","cwd":"/home/rurouni","exitCode":0},"isError":false,"timestamp":1777865322959}} {"type":"message","id":"5798e034","parentId":"617a1425","timestamp":"2026-05-04T03:28:42.963Z","message":{"role":"toolResult","toolCallId":"call_01_iCgDxsrVuvtkKFnpcBwy5307","toolName":"exec","content":[{"type":"text","text":"๐Ÿฆž OpenClaw 2026.5.2 (8b2a6e5) โ€” Built by lobsters, for humans. Don't question the hierarchy.\n\nUsage: openclaw memory [options] [command]\n\nSearch, inspect, and reindex memory files\n\nOptions:\n -h, --help Display help for command\n\nCommands:\n index Reindex memory files\n promote Rank short-term recalls and optionally append top entries to\n MEMORY.md\n promote-explain Explain a specific promotion candidate and its score\n breakdown\n rem-backfill Write grounded historical REM summaries into DREAMS.md for UI\n review\n rem-harness Preview REM reflections, candidate truths, and deep\n promotions without writing\n search Search memory files\n status Show memory search index status\n\nExamples:\n openclaw memory status\n Show index and provider status.\n openclaw memory status --fix\n Repair stale recall locks and normalize promotion metadata.\n openclaw memory status --deep\n Probe embedding provider readiness.\n openclaw memory index --force\n Force a full reindex.\n openclaw memory search \"meeting notes\"\n Quick search using positional query.\n openclaw memory search --query \"deployment\" --max-results 20\n Limit results for focused troubleshooting.\n openclaw memory promote --limit 10 --min-score 0.75\n Review weighted short-term candidates for long-term memory.\n openclaw memory promote --apply\n Append top-ranked short-term candidates into MEMORY.md.\n openclaw memory promote-explain \"router vlan\"\n Explain why a specific candidate would or would not promote.\n openclaw memory rem-harness --json\n Preview REM reflections, candidate truths, and deep promotion output.\n openclaw memory rem-backfill --path ./memory\n Write grounded historical REM entries into DREAMS.md for UI review.\n openclaw memory rem-backfill --path ./memory --stage-short-term\n Also seed durable grounded candidates into the live short-term promotion store.\n openclaw memory status --json\n Output machine-readable JSON (good for scripts).\n\nDocs: https://docs.openclaw.ai/cli/memory"}],"details":{"status":"completed","exitCode":0,"durationMs":3580,"aggregated":"๐Ÿฆž OpenClaw 2026.5.2 (8b2a6e5) โ€” Built by lobsters, for humans. Don't question the hierarchy.\n\nUsage: openclaw memory [options] [command]\n\nSearch, inspect, and reindex memory files\n\nOptions:\n -h, --help Display help for command\n\nCommands:\n index Reindex memory files\n promote Rank short-term recalls and optionally append top entries to\n MEMORY.md\n promote-explain Explain a specific promotion candidate and its score\n breakdown\n rem-backfill Write grounded historical REM summaries into DREAMS.md for UI\n review\n rem-harness Preview REM reflections, candidate truths, and deep\n promotions without writing\n search Search memory files\n status Show memory search index status\n\nExamples:\n openclaw memory status\n Show index and provider status.\n openclaw memory status --fix\n Repair stale recall locks and normalize promotion metadata.\n openclaw memory status --deep\n Probe embedding provider readiness.\n openclaw memory index --force\n Force a full reindex.\n openclaw memory search \"meeting notes\"\n Quick search using positional query.\n openclaw memory search --query \"deployment\" --max-results 20\n Limit results for focused troubleshooting.\n openclaw memory promote --limit 10 --min-score 0.75\n Review weighted short-term candidates for long-term memory.\n openclaw memory promote --apply\n Append top-ranked short-term candidates into MEMORY.md.\n openclaw memory promote-explain \"router vlan\"\n Explain why a specific candidate would or would not promote.\n openclaw memory rem-harness --json\n Preview REM reflections, candidate truths, and deep promotion output.\n openclaw memory rem-backfill --path ./memory\n Write grounded historical REM entries into DREAMS.md for UI review.\n openclaw memory rem-backfill --path ./memory --stage-short-term\n Also seed durable grounded candidates into the live short-term promotion store.\n openclaw memory status --json\n Output machine-readable JSON (good for scripts).\n\nDocs: https://docs.openclaw.ai/cli/memory","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865322959}} {"type":"message","id":"3d7234ee","parentId":"5798e034","timestamp":"2026-05-04T03:28:50.775Z","message":{"role":"assistant","content":[{"type":"text","text":"Good. Now I can see the full picture. Let me verify the key claims and test memory search + QMD."},{"type":"toolCall","id":"call_00_6Rzrr5umg1DRIsvCergX1666","name":"exec","arguments":{"command":"openclaw memory search \"user prefers short answers\" 2>&1"}},{"type":"toolCall","id":"call_01_PLRXRdMgNNWh4RA6dU0t2380","name":"exec","arguments":{"command":"openclaw config get agents.defaults.memorySearch 2>&1"}},{"type":"toolCall","id":"call_02_vRZzcxEUM99yE1WlhqGf6467","name":"exec","arguments":{"command":"openclaw config get plugins.qmd 2>&1"}},{"type":"toolCall","id":"call_03_IlLTZkTu6t3ZoXN89BHk6641","name":"exec","arguments":{"command":"openclaw config get contextEngine 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":7387,"output":201,"cacheRead":15360,"cacheWrite":0,"totalTokens":22948,"cost":{"input":0.012853380000000001,"output":0.00069948,"cacheRead":0.0022272,"cacheWrite":0,"total":0.015780060000000002}},"stopReason":"toolUse","timestamp":1777865322966,"responseId":"22a1abe8-bcda-4207-a02c-768f917ea221"}} {"type":"message","id":"7a73c5f8","parentId":"3d7234ee","timestamp":"2026-05-04T03:29:00.857Z","message":{"role":"toolResult","toolCallId":"call_00_6Rzrr5umg1DRIsvCergX1666","toolName":"exec","content":[{"type":"text","text":"Command still running (session quick-meadow, pid 74837). Use process (list/poll/log/write/kill/clear/remove) for follow-up."}],"details":{"status":"running","sessionId":"quick-meadow","pid":74837,"startedAt":1777865330806,"cwd":"/home/rurouni","tail":""},"isError":false,"timestamp":1777865340857}} {"type":"message","id":"9dad7b2f","parentId":"7a73c5f8","timestamp":"2026-05-04T03:29:00.858Z","message":{"role":"toolResult","toolCallId":"call_01_PLRXRdMgNNWh4RA6dU0t2380","toolName":"exec","content":[{"type":"text","text":"Config path not found: agents.defaults.memorySearch\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":1803,"aggregated":"Config path not found: agents.defaults.memorySearch\n\n(Command exited with code 1)","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865340857}} {"type":"message","id":"50d6bb7c","parentId":"9dad7b2f","timestamp":"2026-05-04T03:29:00.858Z","message":{"role":"toolResult","toolCallId":"call_02_vRZzcxEUM99yE1WlhqGf6467","toolName":"exec","content":[{"type":"text","text":"Config path not found: plugins.qmd\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":1781,"aggregated":"Config path not found: plugins.qmd\n\n(Command exited with code 1)","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865340857}} {"type":"message","id":"69fa0431","parentId":"50d6bb7c","timestamp":"2026-05-04T03:29:00.860Z","message":{"role":"toolResult","toolCallId":"call_03_IlLTZkTu6t3ZoXN89BHk6641","toolName":"exec","content":[{"type":"text","text":"Config path not found: contextEngine\n\n(Command exited with code 1)"}],"details":{"status":"completed","exitCode":1,"durationMs":1835,"aggregated":"Config path not found: contextEngine\n\n(Command exited with code 1)","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865340858}} {"type":"message","id":"e13225dc","parentId":"69fa0431","timestamp":"2026-05-04T03:29:07.392Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_00_rzfblV41NC9s2lXDLDOd2680","name":"process","arguments":{"sessionId":"quick-meadow","timeout":15000,"action":"poll"}},{"type":"toolCall","id":"call_01_RkZqcC9g0Up7AtKKtXNe6110","name":"exec","arguments":{"command":"openclaw config get agents.defaults 2>&1 | head -40"}},{"type":"toolCall","id":"call_02_AquqMy1pFikhxLzL8AuG4131","name":"exec","arguments":{"command":"openclaw config get plugins 2>&1 | head -60"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":155,"output":165,"cacheRead":22912,"cacheWrite":0,"totalTokens":23232,"cost":{"input":0.0002697,"output":0.0005742,"cacheRead":0.0033222399999999997,"cacheWrite":0,"total":0.00416614}},"stopReason":"toolUse","timestamp":1777865340861,"responseId":"d5fe2c01-ba39-4f9e-8a14-c900be0ea4d9"}} {"type":"message","id":"e2e4e191","parentId":"e13225dc","timestamp":"2026-05-04T03:29:09.176Z","message":{"role":"toolResult","toolCallId":"call_00_rzfblV41NC9s2lXDLDOd2680","toolName":"process","content":[{"type":"text","text":"0.901 memory/2026-05-03-memory-cleanup.md:1-36\n# Session: 2026-05-03 17:09:14 PDT\n\n- **Session Key**: agent:main:telegram:direct:7229867039\n- **Session ID**: 28b60577-c433-4c14-9b35-25733568288a\n- **Source**: telegram\n\n## Conversation Summary\n\nuser: can you clean up our memoery compress it orginize it also can you check our local models config is it optmized it works right now just want to make sure we have the best model for our set up also i need to add an embedder soon not sure which yet but i need to make sure our gpu has enough room or should i have gone with a bit smaller local ai\nassistant: Bet โ€” Iโ€™ll clean the memory safely first, then verify the local model config against actual GPU/service state. Iโ€™ll avoid touching anything de\n\n0.883 memory/2026-05-03-1940.md:1-12\n# 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\n\n0.869 memory/2026-05-03.md:76-81\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 rest\n\n0.841 memory/2026-05-02.md:1-18\n# 2026-05-02 Daily Notes\n\n## Bootstrap / identity\n\n- Workspace bootstrap began and Raymond named the assistant **Ruruni** with emoji ๐Ÿ—ก๏ธ.\n- Raymond defined Ruruni as his personal AI companion: calm digital ronin, terminal homie, technical familiar, and loyal second brain.\n- Durable persona/preferences were moved into top-level identity files: `IDENTITY.md`, `SOUL.md`, `USER.md`, and later `/home/rurouni/MEMORY.md`.\n\n## Stable preferences learned\n\n- Raymond wants casual, direct, warm, witty replies with light modern slang only when natural.\n- Technical help should start with the answer/next action, use copy/paste commands, prefer safe reversible steps, and warn before risky commands.\n- Suppor\n\n0.823 memory/2026-05-03.md:110-114\n- Created `/data/openclaw-memory/bin/patch-openclaw-offline`; it refuses to run if OpenClaw gateway appears running, runs `/data/openclaw-memory/bin/backup`, saves `~/.openclaw/openclaw.json.pre-memory-stack-*.bak`, then configures Lossless Claw as contextEngine and QMD BM25 as memory backend. It does not wire automatic Mem0 injection; Mem0 remains queried through `mem0-relevant`.\n- Created `/data/openclaw-memory/bin/rollback-openclaw-memory-stack` to restore the newest pre-memory-stack config backup.\n- Smoke tests passed: script syntax ok; Qdrant ready; Mem0 health ok; `mem0-relevant` returns compact pinned memory block; QMD Light BM25 search returns docs; `hygiene-report` is non-destructiv\n\n0.820 memory/2026-05-03.md:99-102\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\n[memory] chunks_vec not updated โ€” sqlite-vec unavailable. Vector recall degraded. Further duplicate warnings suppressed.\n\nProcess exited with code 0."}],"details":{"status":"completed","sessionId":"quick-meadow","exitCode":0,"aggregated":"0.901 memory/2026-05-03-memory-cleanup.md:1-36\n# Session: 2026-05-03 17:09:14 PDT\n\n- **Session Key**: agent:main:telegram:direct:7229867039\n- **Session ID**: 28b60577-c433-4c14-9b35-25733568288a\n- **Source**: telegram\n\n## Conversation Summary\n\nuser: can you clean up our memoery compress it orginize it also can you check our local models config is it optmized it works right now just want to make sure we have the best model for our set up also i need to add an embedder soon not sure which yet but i need to make sure our gpu has enough room or should i have gone with a bit smaller local ai\nassistant: Bet โ€” Iโ€™ll clean the memory safely first, then verify the local model config against actual GPU/service state. Iโ€™ll avoid touching anything de\n\n0.883 memory/2026-05-03-1940.md:1-12\n# 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\n\n0.869 memory/2026-05-03.md:76-81\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 rest\n\n0.841 memory/2026-05-02.md:1-18\n# 2026-05-02 Daily Notes\n\n## Bootstrap / identity\n\n- Workspace bootstrap began and Raymond named the assistant **Ruruni** with emoji ๐Ÿ—ก๏ธ.\n- Raymond defined Ruruni as his personal AI companion: calm digital ronin, terminal homie, technical familiar, and loyal second brain.\n- Durable persona/preferences were moved into top-level identity files: `IDENTITY.md`, `SOUL.md`, `USER.md`, and later `/home/rurouni/MEMORY.md`.\n\n## Stable preferences learned\n\n- Raymond wants casual, direct, warm, witty replies with light modern slang only when natural.\n- Technical help should start with the answer/next action, use copy/paste commands, prefer safe reversible steps, and warn before risky commands.\n- Suppor\n\n0.823 memory/2026-05-03.md:110-114\n- Created `/data/openclaw-memory/bin/patch-openclaw-offline`; it refuses to run if OpenClaw gateway appears running, runs `/data/openclaw-memory/bin/backup`, saves `~/.openclaw/openclaw.json.pre-memory-stack-*.bak`, then configures Lossless Claw as contextEngine and QMD BM25 as memory backend. It does not wire automatic Mem0 injection; Mem0 remains queried through `mem0-relevant`.\n- Created `/data/openclaw-memory/bin/rollback-openclaw-memory-stack` to restore the newest pre-memory-stack config backup.\n- Smoke tests passed: script syntax ok; Qdrant ready; Mem0 health ok; `mem0-relevant` returns compact pinned memory block; QMD Light BM25 search returns docs; `hygiene-report` is non-destructiv\n\n0.820 memory/2026-05-03.md:99-102\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\n[memory] chunks_vec not updated โ€” sqlite-vec unavailable. Vector recall degraded. Further duplicate warnings suppressed.\n","name":"openclaw memory"},"isError":false,"timestamp":1777865349175}} {"type":"message","id":"7f378ec2","parentId":"e2e4e191","timestamp":"2026-05-04T03:29:09.177Z","message":{"role":"toolResult","toolCallId":"call_01_RkZqcC9g0Up7AtKKtXNe6110","toolName":"exec","content":[{"type":"text","text":"{\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 \"workspace\": \"/home/rurouni\",\n \"contextInjection\": \"continuation-skip\",\n \"bootstrapMaxChars\": 6000,\n \"bootstrapTotalMaxChars\": 20000,\n \"experimental\": {\n \"localModelLean\": true\n },\n \"contextTokens\": 128000,\n \"compaction\": {\n \"reserveTokensFloor\": 24000,\n \"memoryFlush\": {\n \"enabled\": true,\n \"softThresholdTokens\": 60000\n },\n \"truncateAfterCompaction\": true,\n \"maxActiveTranscriptBytes\": 1000000,"}],"details":{"status":"completed","exitCode":0,"durationMs":1766,"aggregated":"{\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 \"workspace\": \"/home/rurouni\",\n \"contextInjection\": \"continuation-skip\",\n \"bootstrapMaxChars\": 6000,\n \"bootstrapTotalMaxChars\": 20000,\n \"experimental\": {\n \"localModelLean\": true\n },\n \"contextTokens\": 128000,\n \"compaction\": {\n \"reserveTokensFloor\": 24000,\n \"memoryFlush\": {\n \"enabled\": true,\n \"softThresholdTokens\": 60000\n },\n \"truncateAfterCompaction\": true,\n \"maxActiveTranscriptBytes\": 1000000,","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865349175}} {"type":"message","id":"394ff8c5","parentId":"7f378ec2","timestamp":"2026-05-04T03:29:09.178Z","message":{"role":"toolResult","toolCallId":"call_02_AquqMy1pFikhxLzL8AuG4131","toolName":"exec","content":[{"type":"text","text":"{\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 \"entries\": {\n \"telegram\": {\n \"enabled\": true,\n \"config\": {}\n },\n \"openrouter\": {\n \"enabled\": true,\n \"config\": {}\n },\n \"duckduckgo\": {\n \"enabled\": true,\n \"config\": {}\n },\n \"bonjour\": {\n \"enabled\": false\n },\n \"browser\": {\n \"enabled\": true,\n \"config\": {}\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 \"config\": {\n \"personality\": \"friendly\"\n }\n },\n \"deepseek\": {\n \"enabled\": true,\n \"config\": {}\n },\n \"lossless-claw\": {\n \"enabled\": true,\n \"config\": {\n \"enabled\": true,\n \"databasePath\": \"/data/openclaw-memory/lcm/lcm.db\",\n \"contextThreshold\": 0.75,\n \"freshTailCount\": 32,\n \"promptAwareEviction\": false,\n \"summaryModel\": \"local-qwen/qwen3.5-9b\","}],"details":{"status":"completed","exitCode":0,"durationMs":1761,"aggregated":"{\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 \"entries\": {\n \"telegram\": {\n \"enabled\": true,\n \"config\": {}\n },\n \"openrouter\": {\n \"enabled\": true,\n \"config\": {}\n },\n \"duckduckgo\": {\n \"enabled\": true,\n \"config\": {}\n },\n \"bonjour\": {\n \"enabled\": false\n },\n \"browser\": {\n \"enabled\": true,\n \"config\": {}\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 \"config\": {\n \"personality\": \"friendly\"\n }\n },\n \"deepseek\": {\n \"enabled\": true,\n \"config\": {}\n },\n \"lossless-claw\": {\n \"enabled\": true,\n \"config\": {\n \"enabled\": true,\n \"databasePath\": \"/data/openclaw-memory/lcm/lcm.db\",\n \"contextThreshold\": 0.75,\n \"freshTailCount\": 32,\n \"promptAwareEviction\": false,\n \"summaryModel\": \"local-qwen/qwen3.5-9b\",","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865349176}} {"type":"message","id":"4b31cadc","parentId":"394ff8c5","timestamp":"2026-05-04T03:29:18.367Z","message":{"role":"assistant","content":[{"type":"text","text":"Important findings so far. Let me now check the QMD setup and verify the embedder."},{"type":"toolCall","id":"call_00_9VquJuK4wBYaAYlNW7Uc9273","name":"exec","arguments":{"command":"openclaw config get plugins.slots 2>&1"}},{"type":"toolCall","id":"call_01_Yt5P0bMrlTARl4l7Wr7k6258","name":"exec","arguments":{"command":"ls /data/openclaw-memory/bin/qmd-light 2>&1 && /data/openclaw-memory/bin/qmd-light --help 2>&1 | head -30"}},{"type":"toolCall","id":"call_02_SJZzADmdBzDXirGhQic61885","name":"exec","arguments":{"command":"# Check if Mem0 bridge is responding\ncurl -s http://127.0.0.1:8001/health 2>&1 || echo \"Mem0 bridge not responding on :8001\"\ncurl -s http://127.0.0.1:8001/ 2>&1 | head -5"}},{"type":"toolCall","id":"call_03_pTuF8qBp4UKCoBsIqVfx5738","name":"exec","arguments":{"command":"# Check Qdrant health\ncurl -s http://127.0.0.1:6333/health 2>&1\ncurl -s http://127.0.0.1:6333/collections 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":1953,"output":311,"cacheRead":23168,"cacheWrite":0,"totalTokens":25432,"cost":{"input":0.00339822,"output":0.0010822800000000001,"cacheRead":0.0033593599999999996,"cacheWrite":0,"total":0.00783986}},"stopReason":"toolUse","timestamp":1777865349181,"responseId":"da5c04f2-088d-4ae8-b416-9198f15d3f3a"}} {"type":"message","id":"bd9dc30d","parentId":"4b31cadc","timestamp":"2026-05-04T03:29:20.060Z","message":{"role":"toolResult","toolCallId":"call_00_9VquJuK4wBYaAYlNW7Uc9273","toolName":"exec","content":[{"type":"text","text":"{\n \"contextEngine\": \"legacy\"\n}"}],"details":{"status":"completed","exitCode":0,"durationMs":1663,"aggregated":"{\n \"contextEngine\": \"legacy\"\n}","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865360060}} {"type":"message","id":"a8b626bc","parentId":"bd9dc30d","timestamp":"2026-05-04T03:29:20.061Z","message":{"role":"toolResult","toolCallId":"call_01_Yt5P0bMrlTARl4l7Wr7k6258","toolName":"exec","content":[{"type":"text","text":"/data/openclaw-memory/bin/qmd-light\nqmd โ€” Quick Markdown Search\n\nUsage:\n qmd [options]\n\nPrimary commands:\n qmd query - Hybrid search with auto expansion + reranking (recommended)\n qmd query 'lex:..\\nvec:...' - Structured query document (you provide lex/vec/hyde lines)\n qmd search - Full-text BM25 keywords (no LLM)\n qmd vsearch - Vector similarity only\n qmd get [:line] [-l N] - Show a single document, optional line slice\n qmd multi-get - Batch fetch via glob or comma-separated list\n qmd skill show/install - Show or install the packaged QMD skill\n qmd mcp - Start the MCP server (stdio transport for AI agents)\n qmd bench - Run search quality benchmarks against a fixture file\n\nCollections & context:\n qmd collection add/list/remove/rename/show - Manage indexed folders\n qmd context add/list/rm - Attach human-written summaries\n qmd ls [collection[/path]] - Inspect indexed files\n\nMaintenance:\n qmd status - View index + collection health\n qmd update [--pull] - Re-index collections (optionally git pull first)\n qmd embed [-f] - Generate/refresh vector embeddings\n --max-docs-per-batch - Cap docs loaded into memory per embedding batch\n --max-batch-mb - Cap UTF-8 MB loaded into memory per embedding batch\n qmd cleanup - Clear caches, vacuum DB\n\nQuery syntax (qmd query):"}],"details":{"status":"completed","exitCode":0,"durationMs":519,"aggregated":"/data/openclaw-memory/bin/qmd-light\nqmd โ€” Quick Markdown Search\n\nUsage:\n qmd [options]\n\nPrimary commands:\n qmd query - Hybrid search with auto expansion + reranking (recommended)\n qmd query 'lex:..\\nvec:...' - Structured query document (you provide lex/vec/hyde lines)\n qmd search - Full-text BM25 keywords (no LLM)\n qmd vsearch - Vector similarity only\n qmd get [:line] [-l N] - Show a single document, optional line slice\n qmd multi-get - Batch fetch via glob or comma-separated list\n qmd skill show/install - Show or install the packaged QMD skill\n qmd mcp - Start the MCP server (stdio transport for AI agents)\n qmd bench - Run search quality benchmarks against a fixture file\n\nCollections & context:\n qmd collection add/list/remove/rename/show - Manage indexed folders\n qmd context add/list/rm - Attach human-written summaries\n qmd ls [collection[/path]] - Inspect indexed files\n\nMaintenance:\n qmd status - View index + collection health\n qmd update [--pull] - Re-index collections (optionally git pull first)\n qmd embed [-f] - Generate/refresh vector embeddings\n --max-docs-per-batch - Cap docs loaded into memory per embedding batch\n --max-batch-mb - Cap UTF-8 MB loaded into memory per embedding batch\n qmd cleanup - Clear caches, vacuum DB\n\nQuery syntax (qmd query):","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865360060}} {"type":"message","id":"217e6acc","parentId":"a8b626bc","timestamp":"2026-05-04T03:29:20.061Z","message":{"role":"toolResult","toolCallId":"call_02_SJZzADmdBzDXirGhQic61885","toolName":"exec","content":[{"type":"text","text":"Mem0 bridge not responding on :8001"}],"details":{"status":"completed","exitCode":0,"durationMs":51,"aggregated":"Mem0 bridge not responding on :8001","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865360061}} {"type":"message","id":"d6f2098e","parentId":"217e6acc","timestamp":"2026-05-04T03:29:20.064Z","message":{"role":"toolResult","toolCallId":"call_03_pTuF8qBp4UKCoBsIqVfx5738","toolName":"exec","content":[{"type":"text","text":"{\"result\":{\"collections\":[{\"name\":\"openclaw_mem0\"},{\"name\":\"mem0migrations\"}]},\"status\":\"ok\",\"time\":5.785e-6}"}],"details":{"status":"completed","exitCode":0,"durationMs":56,"aggregated":"{\"result\":{\"collections\":[{\"name\":\"openclaw_mem0\"},{\"name\":\"mem0migrations\"}]},\"status\":\"ok\",\"time\":5.785e-6}","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865360061}} {"type":"message","id":"995fc186","parentId":"d6f2098e","timestamp":"2026-05-04T03:29:26.742Z","message":{"role":"assistant","content":[{"type":"text","text":"Mem0 bridge is down. Let me check if it exists and attempt to start it."},{"type":"toolCall","id":"call_00_GMDB0YXWmmR8QBfnbh1p9626","name":"exec","arguments":{"command":"# Check Mem0 bridge details\nps aux | grep -i mem0 2>&1\necho \"---\"\nls /data/openclaw-memory/mem0/ 2>&1\necho \"---\"\ncat /data/openclaw-memory/mem0/service.py 2>&1 | head -30"}},{"type":"toolCall","id":"call_01_RXTDexqfVXmJa5IvGu5f5923","name":"exec","arguments":{"command":"# Check QMD status and embedded model\n/data/openclaw-memory/bin/qmd-light status 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":571,"output":176,"cacheRead":25344,"cacheWrite":0,"totalTokens":26091,"cost":{"input":0.00099354,"output":0.00061248,"cacheRead":0.0036748799999999997,"cacheWrite":0,"total":0.0052809}},"stopReason":"toolUse","timestamp":1777865360065,"responseId":"a12519d7-3101-4130-9b91-9ada317149c9"}} {"type":"message","id":"e9c7142f","parentId":"995fc186","timestamp":"2026-05-04T03:29:27.668Z","message":{"role":"toolResult","toolCallId":"call_00_GMDB0YXWmmR8QBfnbh1p9626","toolName":"exec","content":[{"type":"text","text":"rurouni 61201 0.4 2.7 11233824 1836236 ? Ssl 18:23 0:33 /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\nrurouni 75043 0.0 0.0 7076 3620 ? S 20:29 0:00 /bin/bash --noprofile --norc -c # Check Mem0 bridge details ps aux | grep -i mem0 2>&1 echo \"---\" ls /data/openclaw-memory/mem0/ 2>&1 echo \"---\" cat /data/openclaw-memory/mem0/service.py 2>&1 | head -30\nrurouni 75045 0.0 0.0 6520 2416 ? S 20:29 0:00 grep -i mem0\n---\nhistory.db\n__pycache__\nservice.py\nvenv\n---\nimport 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"}],"details":{"status":"completed","exitCode":0,"durationMs":41,"aggregated":"rurouni 61201 0.4 2.7 11233824 1836236 ? Ssl 18:23 0:33 /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\nrurouni 75043 0.0 0.0 7076 3620 ? S 20:29 0:00 /bin/bash --noprofile --norc -c # Check Mem0 bridge details ps aux | grep -i mem0 2>&1 echo \"---\" ls /data/openclaw-memory/mem0/ 2>&1 echo \"---\" cat /data/openclaw-memory/mem0/service.py 2>&1 | head -30\nrurouni 75045 0.0 0.0 6520 2416 ? S 20:29 0:00 grep -i mem0\n---\nhistory.db\n__pycache__\nservice.py\nvenv\n---\nimport 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","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865367668}} {"type":"message","id":"c033817d","parentId":"e9c7142f","timestamp":"2026-05-04T03:29:27.668Z","message":{"role":"toolResult","toolCallId":"call_01_RXTDexqfVXmJa5IvGu5f5923","toolName":"exec","content":[{"type":"text","text":"QMD 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: 2h 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 2h 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 qmd context add qmd:///meeting-notes \"Weekly team meeting notes\"\n Add update commands to keep collections fresh: openclaw-docs, rurouni-workspace\n qmd collection update-cmd 'git stash && git pull --rebase --ff-only && git stash pop'"}],"details":{"status":"completed","exitCode":0,"durationMs":912,"aggregated":"QMD 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: 2h 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 2h 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 qmd context add qmd:///meeting-notes \"Weekly team meeting notes\"\n Add update commands to keep collections fresh: openclaw-docs, rurouni-workspace\n qmd collection update-cmd 'git stash && git pull --rebase --ff-only && git stash pop'","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865367668}} {"type":"message","id":"8f4010fa","parentId":"c033817d","timestamp":"2026-05-04T03:29:35.932Z","message":{"role":"assistant","content":[{"type":"text","text":"Mem0 bridge is running on port 8765 (not 8001). Let me verify that and test it end-to-end."},{"type":"toolCall","id":"call_00_hPv84OErUqj8jZgdTmHo4491","name":"exec","arguments":{"command":"# Mem0 is on :8765, not :8001\ncurl -s http://127.0.0.1:8765/health 2>&1\necho \"---\"\n# Try to add a memory\ncurl -s -X POST http://127.0.0.1:8765/add -H 'Content-Type: application/json' -d '{\"text\":\"User prefers short answers\",\"user_id\":\"raymond\",\"infer\":false}' 2>&1"}},{"type":"toolCall","id":"call_01_WTMNWTVR4LAznJ2aQS5k6399","name":"exec","arguments":{"command":"# Check what the mem0 config references for embedder\ncat /data/openclaw-memory/config/mem0-config.yaml 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":1202,"output":227,"cacheRead":25984,"cacheWrite":0,"totalTokens":27413,"cost":{"input":0.00209148,"output":0.00078996,"cacheRead":0.00376768,"cacheWrite":0,"total":0.00664912}},"stopReason":"toolUse","timestamp":1777865367671,"responseId":"aab9c89d-3529-49c4-93e6-cde9222b98d3"}} {"type":"message","id":"9552dc5c","parentId":"8f4010fa","timestamp":"2026-05-04T03:29:36.071Z","message":{"role":"toolResult","toolCallId":"call_00_hPv84OErUqj8jZgdTmHo4491","toolName":"exec","content":[{"type":"text","text":"{\"ok\":true,\"config\":\"/data/openclaw-memory/config/mem0-config.yaml\"}---\n{\"results\":[{\"id\":\"f979437e-45cb-44a5-98cc-372ece9a6341\",\"memory\":\"User prefers short answers\",\"event\":\"ADD\",\"actor_id\":null,\"role\":\"user\"}]}"}],"details":{"status":"completed","exitCode":0,"durationMs":125,"aggregated":"{\"ok\":true,\"config\":\"/data/openclaw-memory/config/mem0-config.yaml\"}---\n{\"results\":[{\"id\":\"f979437e-45cb-44a5-98cc-372ece9a6341\",\"memory\":\"User prefers short answers\",\"event\":\"ADD\",\"actor_id\":null,\"role\":\"user\"}]}","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865376071}} {"type":"message","id":"ddf1bc8f","parentId":"9552dc5c","timestamp":"2026-05-04T03:29:36.071Z","message":{"role":"toolResult","toolCallId":"call_01_WTMNWTVR4LAznJ2aQS5k6399","toolName":"exec","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"}],"details":{"status":"completed","exitCode":0,"durationMs":28,"aggregated":"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","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865376071}} {"type":"message","id":"490ef854","parentId":"ddf1bc8f","timestamp":"2026-05-04T03:29:46.853Z","message":{"role":"assistant","content":[{"type":"text","text":"Mem0 is responding perfectly. Now let me verify the embedding was actually created (vector in Qdrant), test QMD search, and verify the Qwen3-Embedding model is loaded."},{"type":"toolCall","id":"call_00_pbIKyfujpZ3gA8LzLBUp3029","name":"exec","arguments":{"command":"# Check if the memory got a vector in Qdrant\ncurl -s -X POST http://127.0.0.1:6333/collections/openclaw_mem0/points/scroll -H 'Content-Type: application/json' -d '{\"limit\":3,\"with_vector\":false}' 2>&1 | python3 -m json.tool 2>&1 | head -40"}},{"type":"toolCall","id":"call_01_ubhSuH17H1d02WRW2I8k3587","name":"exec","arguments":{"command":"# Test mem0 recall\ncurl -s -X POST http://127.0.0.1:8765/search -H 'Content-Type: application/json' -d '{\"query\":\"short answers preference\",\"user_id\":\"raymond\"}' 2>&1"}},{"type":"toolCall","id":"call_02_EilapZCI1ydUdmgqCb0Y1052","name":"exec","arguments":{"command":"# Test QMD BM25 search (no vectors yet, this is the \"QMD Light\" mode)\n/data/openclaw-memory/bin/qmd-light search \"RAID0\" 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":325,"output":320,"cacheRead":27392,"cacheWrite":0,"totalTokens":28037,"cost":{"input":0.0005655,"output":0.0011136,"cacheRead":0.00397184,"cacheWrite":0,"total":0.00565094}},"stopReason":"toolUse","timestamp":1777865376075,"responseId":"09de0720-54d0-46af-b36b-76c7364bb9c4"}} {"type":"message","id":"ffab6c29","parentId":"490ef854","timestamp":"2026-05-04T03:29:47.373Z","message":{"role":"toolResult","toolCallId":"call_00_pbIKyfujpZ3gA8LzLBUp3029","toolName":"exec","content":[{"type":"text","text":"{\n \"result\": {\n \"points\": [\n {\n \"id\": \"39cd2b34-f9b6-4a37-bae7-8d7a592ab651\",\n \"payload\": {\n \"category\": \"user_preference\",\n \"tags\": [\n \"pinned\",\n \"memory_policy\"\n ],\n \"user_id\": \"raymond\",\n \"data\": \"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 \"text_lemmatized\": \"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 \"created_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"updated_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"attributed_to\": \"user\"\n }\n },\n {\n \"id\": \"f979437e-45cb-44a5-98cc-372ece9a6341\",\n \"payload\": {\n \"category\": \"project_fact\",\n \"tags\": [],\n \"user_id\": \"raymond\",\n \"role\": \"user\",\n \"data\": \"User prefers short answers\",\n \"hash\": \"dcdd3918a4e811d333bdaf46c45a2258\",\n \"created_at\": \"2026-05-04T03:29:36.059077+00:00\",\n \"updated_at\": \"2026-05-04T03:29:36.059077+00:00\",\n \"text_lemmatized\": \"User prefers short answers\"\n }\n }\n ],\n \"next_page_offset\": null\n },\n \"status\": \"ok\",\n \"time\": 0.000691971\n}"}],"details":{"status":"completed","exitCode":0,"durationMs":63,"aggregated":"{\n \"result\": {\n \"points\": [\n {\n \"id\": \"39cd2b34-f9b6-4a37-bae7-8d7a592ab651\",\n \"payload\": {\n \"category\": \"user_preference\",\n \"tags\": [\n \"pinned\",\n \"memory_policy\"\n ],\n \"user_id\": \"raymond\",\n \"data\": \"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 \"text_lemmatized\": \"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 \"created_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"updated_at\": \"2026-05-04T01:22:51.031577+00:00\",\n \"attributed_to\": \"user\"\n }\n },\n {\n \"id\": \"f979437e-45cb-44a5-98cc-372ece9a6341\",\n \"payload\": {\n \"category\": \"project_fact\",\n \"tags\": [],\n \"user_id\": \"raymond\",\n \"role\": \"user\",\n \"data\": \"User prefers short answers\",\n \"hash\": \"dcdd3918a4e811d333bdaf46c45a2258\",\n \"created_at\": \"2026-05-04T03:29:36.059077+00:00\",\n \"updated_at\": \"2026-05-04T03:29:36.059077+00:00\",\n \"text_lemmatized\": \"User prefers short answers\"\n }\n }\n ],\n \"next_page_offset\": null\n },\n \"status\": \"ok\",\n \"time\": 0.000691971\n}","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865387372}} {"type":"message","id":"fa5d4223","parentId":"ffab6c29","timestamp":"2026-05-04T03:29:47.373Z","message":{"role":"toolResult","toolCallId":"call_01_ubhSuH17H1d02WRW2I8k3587","toolName":"exec","content":[{"type":"text","text":"{\"results\":[{\"id\":\"f979437e-45cb-44a5-98cc-372ece9a6341\",\"memory\":\"User prefers short answers\",\"hash\":\"dcdd3918a4e811d333bdaf46c45a2258\",\"metadata\":{\"category\":\"project_fact\",\"tags\":[]},\"score\":0.8139201,\"created_at\":\"2026-05-04T03:29:36.059077+00:00\",\"updated_at\":\"2026-05-04T03:29:36.059077+00:00\",\"user_id\":\"raymond\",\"role\":\"user\"},{\"id\":\"39cd2b34-f9b6-4a37-bae7-8d7a592ab651\",\"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\",\"hash\":\"de081580b52e427056668294ca63e590\",\"metadata\":{\"category\":\"user_preference\",\"tags\":[\"pinned\",\"memory_policy\"]},\"score\":0.43638504,\"created_at\":\"2026-05-04T01:22:51.031577+00:00\",\"updated_at\":\"2026-05-04T01:22:51.031577+00:00\",\"user_id\":\"raymond\"}]}"}],"details":{"status":"completed","exitCode":0,"durationMs":112,"aggregated":"{\"results\":[{\"id\":\"f979437e-45cb-44a5-98cc-372ece9a6341\",\"memory\":\"User prefers short answers\",\"hash\":\"dcdd3918a4e811d333bdaf46c45a2258\",\"metadata\":{\"category\":\"project_fact\",\"tags\":[]},\"score\":0.8139201,\"created_at\":\"2026-05-04T03:29:36.059077+00:00\",\"updated_at\":\"2026-05-04T03:29:36.059077+00:00\",\"user_id\":\"raymond\",\"role\":\"user\"},{\"id\":\"39cd2b34-f9b6-4a37-bae7-8d7a592ab651\",\"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\",\"hash\":\"de081580b52e427056668294ca63e590\",\"metadata\":{\"category\":\"user_preference\",\"tags\":[\"pinned\",\"memory_policy\"]},\"score\":0.43638504,\"created_at\":\"2026-05-04T01:22:51.031577+00:00\",\"updated_at\":\"2026-05-04T01:22:51.031577+00:00\",\"user_id\":\"raymond\"}]}","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865387372}} {"type":"message","id":"4f76dc4f","parentId":"fa5d4223","timestamp":"2026-05-04T03:29:47.374Z","message":{"role":"toolResult","toolCallId":"call_02_EilapZCI1ydUdmgqCb0Y1052","toolName":"exec","content":[{"type":"text","text":"qmd://rurouni-workspace/memory.md:42 #a364ab\nTitle: MEMORY.md โ€” Ruruni Long-Term Memory\nScore: 88%\n\n@@ -41,4 @@ (40 before, 2 after)\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`; persisted in environment/profile/service config."}],"details":{"status":"completed","exitCode":0,"durationMs":501,"aggregated":"qmd://rurouni-workspace/memory.md:42 #a364ab\nTitle: MEMORY.md โ€” Ruruni Long-Term Memory\nScore: 88%\n\n@@ -41,4 @@ (40 before, 2 after)\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`; persisted in environment/profile/service config.","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865387373}} {"type":"message","id":"28720553","parentId":"4f76dc4f","timestamp":"2026-05-04T03:30:01.196Z","message":{"role":"assistant","content":[{"type":"text","text":"Now let me verify the embedder model is actually present and check for any runtime errors."},{"type":"toolCall","id":"call_00_ChngINSNIcJhxKJlQ2d06853","name":"exec","arguments":{"command":"# Verify the embedding model exists\nls -la /models/embeddings/Qwen3-Embedding-0.6B-hf/ 2>&1 | head -10\necho \"---\"\n# Check OpenClaw runtime logs for errors\njournalctl -u openclaw-gateway --since \"10 minutes ago\" --no-pager -p err 2>&1 | tail -20\necho \"===\"\njournalctl -u openclaw-gateway --since \"10 minutes ago\" --no-pager 2>&1 | grep -iE \"error|crash|fail|panic\" | tail -20"}},{"type":"toolCall","id":"call_01_UeRPKt9lJJHnNPaCk8qH0843","name":"exec","arguments":{"command":"# Check for Mem0 bridge errors\njournalctl -u openclaw-gateway --since \"1 hour ago\" --no-pager 2>&1 | grep -iE \"mem0|embed\" | tail -10\necho \"---\"\n# Verify no Lossless Claw injection in context\nopenclaw config get plugins.entries.lossless-claw 2>&1 | head -10"}},{"type":"toolCall","id":"call_02_eU9zaxE3fZnVm4pARhvR8864","name":"exec","arguments":{"command":"# Verify contextEngine is legacy (not lossless-claw)\nopenclaw config get plugins.slots.contextEngine 2>&1\necho \"---\"\n# Check if Active Memory plugin is truly disabled\nopenclaw plugins list 2>&1 | grep -i \"active.memory\\|active-memory\""}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":979,"output":398,"cacheRead":28032,"cacheWrite":0,"totalTokens":29409,"cost":{"input":0.0017034600000000002,"output":0.0013850400000000001,"cacheRead":0.00406464,"cacheWrite":0,"total":0.00715314}},"stopReason":"toolUse","timestamp":1777865387377,"responseId":"c8fb58e6-2fcd-4dfb-80e1-e453f8e05180"}} {"type":"message","id":"79cbaa23","parentId":"28720553","timestamp":"2026-05-04T03:30:05.860Z","message":{"role":"toolResult","toolCallId":"call_00_ChngINSNIcJhxKJlQ2d06853","toolName":"exec","content":[{"type":"text","text":"total 1179236\ndrwxrwxr-x 4 rurouni rurouni 4096 May 3 18:21 .\ndrwxrwsr-x 4 rurouni rurouni 4096 May 3 18:29 ..\ndrwxrwxr-x 2 rurouni rurouni 4096 May 3 18:21 1_Pooling\ndrwxrwxr-x 3 rurouni rurouni 4096 May 3 18:21 .cache\n-rw-rw-r-- 1 rurouni rurouni 727 May 3 18:21 config.json\n-rw-rw-r-- 1 rurouni rurouni 215 May 3 18:21 config_sentence_transformers.json\n-rw-rw-r-- 1 rurouni rurouni 117 May 3 18:21 generation_config.json\n-rw-rw-r-- 1 rurouni rurouni 1570 May 3 18:21 .gitattributes\n-rw-rw-r-- 1 rurouni rurouni 1671853 May 3 18:21 merges.txt\n---\nHint: You are currently not seeing messages from other users and the system.\n Users in groups 'adm', 'systemd-journal' can see all messages.\n Pass -q to turn off this notice.\n-- No entries --\n==="}],"details":{"status":"completed","exitCode":0,"durationMs":44,"aggregated":"total 1179236\ndrwxrwxr-x 4 rurouni rurouni 4096 May 3 18:21 .\ndrwxrwsr-x 4 rurouni rurouni 4096 May 3 18:29 ..\ndrwxrwxr-x 2 rurouni rurouni 4096 May 3 18:21 1_Pooling\ndrwxrwxr-x 3 rurouni rurouni 4096 May 3 18:21 .cache\n-rw-rw-r-- 1 rurouni rurouni 727 May 3 18:21 config.json\n-rw-rw-r-- 1 rurouni rurouni 215 May 3 18:21 config_sentence_transformers.json\n-rw-rw-r-- 1 rurouni rurouni 117 May 3 18:21 generation_config.json\n-rw-rw-r-- 1 rurouni rurouni 1570 May 3 18:21 .gitattributes\n-rw-rw-r-- 1 rurouni rurouni 1671853 May 3 18:21 merges.txt\n---\nHint: You are currently not seeing messages from other users and the system.\n Users in groups 'adm', 'systemd-journal' can see all messages.\n Pass -q to turn off this notice.\n-- No entries --\n===","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865405860}} {"type":"message","id":"6692fdf6","parentId":"79cbaa23","timestamp":"2026-05-04T03:30:05.860Z","message":{"role":"toolResult","toolCallId":"call_01_UeRPKt9lJJHnNPaCk8qH0843","toolName":"exec","content":[{"type":"text","text":"---\n{\n \"enabled\": true,\n \"config\": {\n \"enabled\": true,\n \"databasePath\": \"/data/openclaw-memory/lcm/lcm.db\",\n \"contextThreshold\": 0.75,\n \"freshTailCount\": 32,\n \"promptAwareEviction\": false,\n \"summaryModel\": \"local-qwen/qwen3.5-9b\",\n \"expansionModel\": \"local-qwen/qwen3.5-9b\""}],"details":{"status":"completed","exitCode":0,"durationMs":1773,"aggregated":"---\n{\n \"enabled\": true,\n \"config\": {\n \"enabled\": true,\n \"databasePath\": \"/data/openclaw-memory/lcm/lcm.db\",\n \"contextThreshold\": 0.75,\n \"freshTailCount\": 32,\n \"promptAwareEviction\": false,\n \"summaryModel\": \"local-qwen/qwen3.5-9b\",\n \"expansionModel\": \"local-qwen/qwen3.5-9b\"","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865405860}} {"type":"message","id":"c22dd2d0","parentId":"6692fdf6","timestamp":"2026-05-04T03:30:05.863Z","message":{"role":"toolResult","toolCallId":"call_02_eU9zaxE3fZnVm4pARhvR8864","toolName":"exec","content":[{"type":"text","text":"legacy\n---\nโ”‚ Active โ”‚ active- โ”‚ openclaw โ”‚ disabled โ”‚ stock:active-memory/index.js โ”‚ โ”‚"}],"details":{"status":"completed","exitCode":0,"durationMs":4645,"aggregated":"legacy\n---\nโ”‚ Active โ”‚ active- โ”‚ openclaw โ”‚ disabled โ”‚ stock:active-memory/index.js โ”‚ โ”‚","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865405860}} {"type":"message","id":"342cf12d","parentId":"c22dd2d0","timestamp":"2026-05-04T03:30:14.884Z","message":{"role":"assistant","content":[{"type":"text","text":"Wait โ€” Lossless Claw plugin is **enabled** in the plugins list, and its config shows `\"enabled\": true`. Let me verify whether it's actually active (in the runtime pipeline) or just loaded-but-inactive."},{"type":"toolCall","id":"call_00_PMwlOIqiSTmNOineksdD7755","name":"exec","arguments":{"command":"# Check if lossless-claw is the actual contextEngine in runtime\nopenclaw config get plugins.entries.lossless-claw.config 2>&1"}},{"type":"toolCall","id":"call_01_aSTnbWs7ytaPrwFqH1Hv6126","name":"exec","arguments":{"command":"# Check the LCM database - if lossless is active, it'll have entries\nls -la /data/openclaw-memory/lcm/ 2>&1\necho \"---\"\n# Check if LCM db exists and has content\nls -la /data/openclaw-memory/lcm/lcm.db 2>&1\necho \"---\"\n# Check for lossless-claw in the active plugin pipeline\nopenclaw config get plugins.slots 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":579,"output":248,"cacheRead":29312,"cacheWrite":0,"totalTokens":30139,"cost":{"input":0.00100746,"output":0.00086304,"cacheRead":0.00425024,"cacheWrite":0,"total":0.0061207399999999995}},"stopReason":"toolUse","timestamp":1777865405866,"responseId":"963fbe4f-75ff-456d-99de-692e9fb0f772"}} {"type":"message","id":"fa808cf5","parentId":"342cf12d","timestamp":"2026-05-04T03:30:16.619Z","message":{"role":"toolResult","toolCallId":"call_00_PMwlOIqiSTmNOineksdD7755","toolName":"exec","content":[{"type":"text","text":"{\n \"enabled\": true,\n \"databasePath\": \"/data/openclaw-memory/lcm/lcm.db\",\n \"contextThreshold\": 0.75,\n \"freshTailCount\": 32,\n \"promptAwareEviction\": false,\n \"summaryModel\": \"local-qwen/qwen3.5-9b\",\n \"expansionModel\": \"local-qwen/qwen3.5-9b\"\n}"}],"details":{"status":"completed","exitCode":0,"durationMs":1719,"aggregated":"{\n \"enabled\": true,\n \"databasePath\": \"/data/openclaw-memory/lcm/lcm.db\",\n \"contextThreshold\": 0.75,\n \"freshTailCount\": 32,\n \"promptAwareEviction\": false,\n \"summaryModel\": \"local-qwen/qwen3.5-9b\",\n \"expansionModel\": \"local-qwen/qwen3.5-9b\"\n}","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865416618}} {"type":"message","id":"f7b76577","parentId":"fa808cf5","timestamp":"2026-05-04T03:30:16.619Z","message":{"role":"toolResult","toolCallId":"call_01_aSTnbWs7ytaPrwFqH1Hv6126","toolName":"exec","content":[{"type":"text","text":"total 236\ndrwxrwsr-x 2 rurouni rurouni 4096 May 3 20:28 .\ndrwxrwsr-x 16 rurouni rurouni 4096 May 3 19:57 ..\n-rw-r--r-- 1 rurouni rurouni 233472 May 3 20:28 lcm.db\n---\n-rw-r--r-- 1 rurouni rurouni 233472 May 3 20:28 /data/openclaw-memory/lcm/lcm.db\n---\n{\n \"contextEngine\": \"legacy\"\n}"}],"details":{"status":"completed","exitCode":0,"durationMs":1713,"aggregated":"total 236\ndrwxrwsr-x 2 rurouni rurouni 4096 May 3 20:28 .\ndrwxrwsr-x 16 rurouni rurouni 4096 May 3 19:57 ..\n-rw-r--r-- 1 rurouni rurouni 233472 May 3 20:28 lcm.db\n---\n-rw-r--r-- 1 rurouni rurouni 233472 May 3 20:28 /data/openclaw-memory/lcm/lcm.db\n---\n{\n \"contextEngine\": \"legacy\"\n}","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865416618}} {"type":"message","id":"ada8f1ea","parentId":"f7b76577","timestamp":"2026-05-04T03:30:31.917Z","message":{"role":"assistant","content":[{"type":"text","text":"Good โ€” `contextEngine` is `\"legacy\"`, so Lossless Claw is loaded as a plugin but **not** slotted as the context engine. The LCM DB exists from prior setup but isn't being used for active context injection. This matches what you said: \"installed but NOT active.\"\n\nNow let me do a final check โ€” verify the embedder actually produced a vector (not just stored text)."},{"type":"toolCall","id":"call_00_tNKsfUkHm0qVpFDVYqXh5501","name":"exec","arguments":{"command":"# Verify our new memory has a real embedding vector (not null)\ncurl -s -X POST http://127.0.0.1:6333/collections/openclaw_mem0/points/scroll -H 'Content-Type: application/json' -d '{\"limit\":1,\"with_vector\":true,\"filter\":{\"must\":[{\"key\":\"hash\",\"match\":{\"value\":\"dcdd3918a4e811d333bdaf46c45a2258\"}}]}}' 2>&1 | python3 -c \"\nimport json, sys\ndata = json.load(sys.stdin)\npts = data.get('result',{}).get('points',[])\nfor p in pts:\n v = p.get('vector', None)\n if v:\n print(f'Point {p[\\\"id\\\"]}: vector present, dims={len(v)}, first 5 vals={v[:5]}')\n else:\n print(f'Point {p[\\\"id\\\"]}: NO VECTOR')\nif not pts:\n print('No points found')\n\" 2>&1"}},{"type":"toolCall","id":"call_01_hMTyvv8oX8VTAAM3wxlq5399","name":"exec","arguments":{"command":"# Quick check: model file total size\ndu -sh /models/embeddings/Qwen3-Embedding-0.6B-hf/ 2>&1\necho \"---\"\n# Confirm model type\ncat /models/embeddings/Qwen3-Embedding-0.6B-hf/config.json 2>&1"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":310,"output":453,"cacheRead":30080,"cacheWrite":0,"totalTokens":30843,"cost":{"input":0.0005394,"output":0.0015764400000000001,"cacheRead":0.004361599999999999,"cacheWrite":0,"total":0.006477439999999999}},"stopReason":"toolUse","timestamp":1777865416623,"responseId":"5f32c33e-57d7-46e1-83e2-5fee3c53a0b5"}} {"type":"message","id":"b170abb5","parentId":"ada8f1ea","timestamp":"2026-05-04T03:30:31.976Z","message":{"role":"toolResult","toolCallId":"call_00_tNKsfUkHm0qVpFDVYqXh5501","toolName":"exec","content":[{"type":"text","text":"Point f979437e-45cb-44a5-98cc-372ece9a6341: vector present, dims=1024, first 5 vals=[0.0032161414, -0.031094447, -0.010303846, -0.042190894, 0.049019482]"}],"details":{"status":"completed","exitCode":0,"durationMs":44,"aggregated":"Point f979437e-45cb-44a5-98cc-372ece9a6341: vector present, dims=1024, first 5 vals=[0.0032161414, -0.031094447, -0.010303846, -0.042190894, 0.049019482]","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865431976}} {"type":"message","id":"cd68d1e0","parentId":"b170abb5","timestamp":"2026-05-04T03:30:31.977Z","message":{"role":"toolResult","toolCallId":"call_01_hMTyvv8oX8VTAAM3wxlq5399","toolName":"exec","content":[{"type":"text","text":"1.2G\t/models/embeddings/Qwen3-Embedding-0.6B-hf/\n---\n{\n \"architectures\": [\n \"Qwen3ForCausalLM\"\n ],\n \"attention_bias\": false,\n \"attention_dropout\": 0.0,\n \"bos_token_id\": 151643,\n \"eos_token_id\": 151643,\n \"head_dim\": 128,\n \"hidden_act\": \"silu\",\n \"hidden_size\": 1024,\n \"initializer_range\": 0.02,\n \"intermediate_size\": 3072,\n \"max_position_embeddings\": 32768,\n \"max_window_layers\": 28,\n \"model_type\": \"qwen3\",\n \"num_attention_heads\": 16,\n \"num_hidden_layers\": 28,\n \"num_key_value_heads\": 8,\n \"rms_norm_eps\": 1e-06,\n \"rope_scaling\": null,\n \"rope_theta\": 1000000,\n \"sliding_window\": null,\n \"tie_word_embeddings\": true,\n \"torch_dtype\": \"bfloat16\",\n \"transformers_version\": \"4.51.3\",\n \"use_cache\": true,\n \"use_sliding_window\": false,\n \"vocab_size\": 151669\n}"}],"details":{"status":"completed","exitCode":0,"durationMs":37,"aggregated":"1.2G\t/models/embeddings/Qwen3-Embedding-0.6B-hf/\n---\n{\n \"architectures\": [\n \"Qwen3ForCausalLM\"\n ],\n \"attention_bias\": false,\n \"attention_dropout\": 0.0,\n \"bos_token_id\": 151643,\n \"eos_token_id\": 151643,\n \"head_dim\": 128,\n \"hidden_act\": \"silu\",\n \"hidden_size\": 1024,\n \"initializer_range\": 0.02,\n \"intermediate_size\": 3072,\n \"max_position_embeddings\": 32768,\n \"max_window_layers\": 28,\n \"model_type\": \"qwen3\",\n \"num_attention_heads\": 16,\n \"num_hidden_layers\": 28,\n \"num_key_value_heads\": 8,\n \"rms_norm_eps\": 1e-06,\n \"rope_scaling\": null,\n \"rope_theta\": 1000000,\n \"sliding_window\": null,\n \"tie_word_embeddings\": true,\n \"torch_dtype\": \"bfloat16\",\n \"transformers_version\": \"4.51.3\",\n \"use_cache\": true,\n \"use_sliding_window\": false,\n \"vocab_size\": 151669\n}","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865431976}} {"type":"message","id":"99517f46","parentId":"cd68d1e0","timestamp":"2026-05-04T03:32:36.909Z","message":{"role":"user","content":[{"type":"text","text":"you mentioned this Mem0 bridge is running on port 8765 (not 8001). Let me verify that and test it end-to-end. does that have to be fixied"}],"timestamp":1777865556907}} {"type":"custom_message","customType":"openclaw.runtime-context","content":"Conversation info (untrusted metadata):\n```json\n{\n \"chat_id\": \"telegram:7229867039\",\n \"message_id\": \"1621\",\n \"sender_id\": \"7229867039\",\n \"sender\": \"Raymond\",\n \"timestamp\": \"Sun 2026-05-03 20:32 PDT\"\n}\n```\n\nSender (untrusted metadata):\n```json\n{\n \"label\": \"Raymond (7229867039)\",\n \"id\": \"7229867039\",\n \"name\": \"Raymond\"\n}\n```","display":false,"details":{"source":"openclaw-runtime-context"},"id":"23b99a04","parentId":"99517f46","timestamp":"2026-05-04T03:32:36.910Z"} {"type":"message","id":"24a4ebbc","parentId":"23b99a04","timestamp":"2026-05-04T03:32:44.600Z","message":{"role":"assistant","content":[{"type":"text","text":"Good question. Let me check what port your scripts and config actually expect vs what's running."},{"type":"toolCall","id":"call_00_6EggvWPEVCN1kcbqzE6e0522","name":"exec","arguments":{"command":"# Check what port the bridge is configured to use\ngrep -r \"8765\\|8001\" /data/openclaw-memory/bin/ /data/openclaw-memory/mem0/service.py /data/openclaw-memory/config/ 2>&1 | grep -v \".pyc\\|venv\\|__pycache__\""}},{"type":"toolCall","id":"call_01_Lhb0aItBv3yCvLeNjI2W7838","name":"exec","arguments":{"command":"# Check any scripts that might hardcode port 8001\ngrep -r \"8001\" /data/openclaw-memory/bin/ 2>&1\necho \"===\"\n# Check what port the mem0-relevant script hits\ncat /data/openclaw-memory/bin/mem0-relevant 2>&1 | head -20"}}],"api":"openai-completions","provider":"deepseek","model":"deepseek-v4-pro","usage":{"input":19823,"output":233,"cacheRead":7808,"cacheWrite":0,"totalTokens":27864,"cost":{"input":0.03449202,"output":0.0008108400000000001,"cacheRead":0.00113216,"cacheWrite":0,"total":0.03643502}},"stopReason":"toolUse","timestamp":1777865556910,"responseId":"b76799ce-6840-4869-95de-477aeba02e3f"}} {"type":"message","id":"6b2605bd","parentId":"24a4ebbc","timestamp":"2026-05-04T03:32:44.706Z","message":{"role":"toolResult","toolCallId":"call_00_6EggvWPEVCN1kcbqzE6e0522","toolName":"exec","content":[{"type":"text","text":"/data/openclaw-memory/bin/status:curl -fsS http://127.0.0.1:8765/health 2>&1 || true\n/data/openclaw-memory/bin/mem0-relevant:curl -fsS -X POST http://127.0.0.1:8765/relevant_memory \\"}],"details":{"status":"completed","exitCode":0,"durationMs":88,"aggregated":"/data/openclaw-memory/bin/status:curl -fsS http://127.0.0.1:8765/health 2>&1 || true\n/data/openclaw-memory/bin/mem0-relevant:curl -fsS -X POST http://127.0.0.1:8765/relevant_memory \\","cwd":"/home/rurouni"},"isError":false,"timestamp":1777865564706}} {"type":"message","id":"b238b76f","parentId":"6b2605bd","timestamp":"2026-05-04T03:32:44.707Z","message":{"role":"toolResult","toolCallId":"call_01_Lhb0aItBv3yCvLeNjI2W7838","toolName":"exec","content":[{"type":"text","text":"===\n#!/usr/bin/env bash\nset -euo pipefail\nquery=\"${1:-}\"\nif [[ -z \"$query\" ]]; then\n echo \"usage: mem0-relevant 'query' [limit] [max_chars]\" >&2\n exit 2\nfi\nlimit=\"${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 - <&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 - <