mnemon-mcp

httpnone★ 2database

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

How to run this server

[ { "cmd": "npm install -g mnemon-mcp", "imports": [] } ]

server path: mnemon-mcp

Tools

What this server exposes

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

Configuration

Environment & auth

authnone

envMNEMON_EMBEDDING_API_KEY

envMNEMON_OLLAMA_URL

envMNEMON_AUTH_TOKEN

envMNEMON_PORT

Resources