{"skill":{"slug":"openclaw-memory-skill","displayName":"OpenClaw MongoDB Semantic Memory","summary":"MongoDB-backed long-term semantic memory for recalling, storing, searching, and managing facts, decisions, and user preferences across sessions.","tags":{"latest":"0.2.1","memory":"0.2.1","mongodb":"0.2.1","semantic":"0.2.1","voyage-ai":"0.2.1"},"stats":{"comments":0,"downloads":490,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1771959903931,"updatedAt":1777525371811},"latestVersion":{"version":"0.2.1","createdAt":1771959903931,"changelog":"## Summary: Major rewrite and migration from local semantic memory to MongoDB+Voyage AI with extensive new features.\n\n- Switched backend from local Transformers.js vector search to MongoDB (Atlas) with Voyage AI semantic search.\n- Complete overhaul of tools: new, more robust APIs including memory_search, memory_remember, memory_get, memory_forget, memory_list, and memory_status.\n- Introduced detailed documentation for each tool, with realistic examples and best-practice workflow guidance.\n- Added automatic memory capture hooks for preferences, decisions, and session summaries, enabling richer and more accurate memory without manual intervention.\n- Enhanced configuration options for recall behavior, storage, and hook management.\n- Removed all previous code, configs, and docs related to the old setup—this is a clean-slate, fully new system.","license":null},"metadata":null,"owner":{"handle":"mrlynn","userId":"publishers:mrlynn","displayName":"Michael Lynn","image":"https://avatars.githubusercontent.com/u/192552?v=4"},"moderation":{"isSuspicious":true,"isMalwareBlocked":false,"verdict":"suspicious","reasonCodes":["suspicious.llm_suspicious","suspicious.vt_suspicious"],"summary":"Detected: suspicious.llm_suspicious, suspicious.vt_suspicious","engineVersion":"v2.4.5","updatedAt":1777525371811}}