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Open-source MCP Server for persistent AI memory with embedded sync

Project description

Mnemo MCP Server

mcp-name: io.github.n24q02m/mnemo-mcp

Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.

CI codecov PyPI Docker License: MIT SafeSkill 91/100

Python SQLite MCP semantic-release Renovate

Mnemo MCP server

Features

  • Hybrid search -- FTS5 full-text + sqlite-vec semantic + reranking for precision
  • Knowledge graph -- Automatic entity extraction and relation tracking across memories
  • Importance scoring -- LLM-scored 0.0-1.0 per memory for smarter retrieval
  • Auto-archive -- Configurable age + importance threshold to keep memory clean
  • STM-to-LTM consolidation -- LLM summarization of related memories in a category
  • Duplicate detection -- Warns before adding semantically similar memories
  • Zero config -- Built-in local Qwen3 embedding + reranking, no API keys needed. Optional cloud providers (Jina AI, Gemini, OpenAI, Cohere)
  • Multi-machine sync -- JSONL-based merge sync via embedded rclone (Google Drive, S3, Dropbox)
  • Proactive memory -- Tool descriptions guide AI to save preferences, decisions, facts

Status

2026-05-02 -- Architecture stabilization update

Past months saw significant churn around credential handling and the daemon-bridge auto-spawn pattern. This caused multi-process races, browser tab spam, and inconsistent setup UX across plugins. As of v, the architecture is stable: 2 clean modes (stdio + HTTP), no daemon-bridge layer, no auto-spawn from stdio.

Apologies for the instability period. If you encountered issues with prior versions, please update to v+ and follow the current docs/setup-manual.md -- most prior workarounds are no longer needed.

Related plugins from the same author:

All plugins share the same architecture -- install once, learn pattern transfers.

Setup

  • Stdio mode (default) -- local SQLite, no creds required. See setup-manual.md.
  • HTTP mode (optional) -- multi-user, browser-based GDrive OAuth for sync. See setup-manual.md.

With AI Agent -- copy and send this to your AI agent:

Please set up mnemo-mcp for me. Follow this guide: https://raw.githubusercontent.com/n24q02m/mnemo-mcp/main/docs/setup-with-agent.md

Manual Setup -- follow docs/setup-manual.md

Tools

Tool Actions Description
memory add, search, list, update, delete, export, import, stats, restore, archived, consolidate Core memory CRUD, hybrid search, import/export, archival, and LLM consolidation
config status, sync, set, warmup, setup_sync Server status, trigger sync, update settings, pre-download embedding model, authenticate sync provider
help -- Full documentation for any tool

MCP Resources

URI Description
mnemo://stats Database statistics and server status
mnemo://recent 10 most recently updated memories

MCP Prompts

Prompt Parameters Description
save_summary summary Generate prompt to save a conversation summary as memory
recall_context topic Generate prompt to recall relevant memories about a topic

Security

  • Graceful fallbacks -- Cloud → Local embedding, no cross-mode fallback
  • Sync token security -- OAuth tokens stored at ~/.mnemo-mcp/tokens/ with 600 permissions
  • Input validation -- Sync provider, folder, remote validated against allowlists
  • Error sanitization -- No credentials in error messages

Build from Source

git clone https://github.com/n24q02m/mnemo-mcp.git
cd mnemo-mcp
uv sync
uv run mnemo-mcp

Trust Model

This plugin implements TC-Local (machine-bound, single trust principal). See mcp-core/docs/TRUST-MODEL.md for full classification.

Mode Storage Encryption Who can read your data?
stdio (default) ~/.mnemo-mcp/config.json AES-GCM, machine-bound key Only your OS user (file perm 0600)
HTTP self-host Same as stdio Same Only you (admin = user)

License

MIT -- See LICENSE.

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