mnemon-mcp
JSON →Persistent layered memory for AI agents â 4-layer model, FTS5 search, fact versioning, EN+RU stemming. Local-first, zero-cloud, single SQLite file.
Install
npm install -g mnemon-mcp Tools · 10
- memory_add Store a memory with layer, entity, confidence, importance, and optional TTL
- memory_search Full-text or exact search with filters by layer, entity, date, scope, confidence
- memory_update Update in-place or create a versioned replacement (superseding chain)
- memory_delete Delete a memory; re-activates its predecessor if any
- memory_inspect Get layer statistics or trace a single memory's version history
- memory_export Export to JSON, Markdown, or Claude-md format with filters
- memory_health Run diagnostics: expired entries, orphaned chains, stale memories; optionally GC
- memory_session_start Start an agent session — returns session ID for grouping memories
- memory_session_end End a session with optional summary; returns duration and memory count
- memory_session_list List sessions with filters by client, project, or active status
Environment variables
MNEMON_EMBEDDING_API_KEYMNEMON_OLLAMA_URLMNEMON_AUTH_TOKENMNEMON_PORT
Links
★ 2 GitHub stars