Mnemon Mcp
by nikitacometacommunityv1.0.1
3
1
Mnemon-mcp provides persistent layered memory for AI agents using a local SQLite database, allowing agents to retain information across sessions without relying on cloud services.
From the registry: Persistent layered memory for AI agents. SQLite FTS5, fact versioning, zero-cloud.
Install & configure
Prerequisites
- requiredInstall mnemon-mcpInstall via npm global
https://www.npmjs.com/package/mnemon-mcp$ npm install -g mnemon-mcp
Install in your client
Paste into the AI you're chatting with — it will figure out the rest
Please install the `mnemon-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install mnemon-mcp** — Install via npm global Run: `npm install -g mnemon-mcp` (https://www.npmjs.com/package/mnemon-mcp)
Canonical MCP server config (stdio transport):
- command: `mnemon-mcp`
- args: []
- optional environment variables:
- `MNEMON_DB_PATH`: SQLite database path (example: `~/.mnemon-mcp/memory.db`)
- `MNEMON_EMBEDDING_PROVIDER`: Optional embedding provider for vector search (example: `openai`)
- `MNEMON_EMBEDDING_API_KEY`: API key for embeddings (example: `<your-api-key>`)
Note: Persistent layered memory with 4 layers (episodic, semantic, procedural, resource). Local-first SQLite. BYOK embeddings optional.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Note: Persistent layered memory with 4 layers (episodic, semantic, procedural, resource). Local-first SQLite. BYOK embeddings optional.
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_KEYrequiredAPI key for OpenAI embedding providerMNEMON_AUTH_TOKENrequiredBearer token for HTTP transportPrerequisites
- • Python 3.12
Packages
mnemon-mcp
npmv1.0.1transport: stdio
Details
- Language
- TypeScript
- License
- MIT
- Released
- Mar 16, 2026
- Last commit
- Jun 10, 2026
- Registry name
- io.github.nikitacometa/mnemon-mcp
Categories
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