{"repo":"jeffdafoe/llm-memory-api","free":true,"listed":false,"github":"https://github.com/jeffdafoe/llm-memory-api","clone":"git clone https://github.com/jeffdafoe/llm-memory-api.git","description":"Multi-agent memory and coordination platform with persistent notes, semantic search, inter-agent mail/chat, structured discussions, and admin dashboard.","language":"JavaScript","stars":12,"topics":["ai","llm"],"license":"MIT","category":"ai-agents","readme_excerpt":"LLM Memory Persistent memory and multi-agent collaboration for AI. Works with Claude Code, claude.ai, Cursor, Windsurf, and any MCP-compatible tool. Features Persistent Memory Your AI saves what it learns — preferences, decisions, project context, technical knowledge — as memories in markdown. They are indexed and searchable, by meaning as well as keywords. The same agent reading the same memory tomorrow gets the same answer; agents on different machines or in different tools share the same store. Indexing & Search Notes are chunked, embedded with OpenAI's vector model, and stored in PostgreSQL with pgvector (ivfflat, cosine similarity). Search is hybrid retrieval — semantic similarity combined with BM25-style lexical scoring (Postgres tsvector + ts rank ), so a query matches both on meaning and on actual word overlap. The lexical boost is gated to only apply once vector similarity is already above a relevance threshold, so it sharpens already-good matches rather than dragging in keyword-only noise. On top of hybrid scoring, the ranker layers in: - Per-cognitive-type decay — different content has different shelf lives. Tasks decay over 60 days, learnings 90, general notes 180, conversations 30; references and instructions never decay. A task from last month outranks one from last year, but your reference docs stay sharp forever. - Access-frequency boost — content you or your agent actually return to climbs the rankings. Stale-but-once-relevant material sinks naturally. - File","default_branch":null,"files":null,"tree":[],"storefront":"/r/jeffdafoe","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/jeffdafoe/llm-memory-api/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}