n24q02m/mnemo-mcp

Overview

mnemo-mcp is an open-source Python tool that gives AI agents persistent memory using hybrid search and embedded sync. It stores and retrieves context across sessions, enabling long-running conversations or tasks without losing state.

Best for

Best for
Developers building persistent memory into custom AI agents or chatbots

Use cases

• Maintain conversation history across AI agent sessions
• Sync memory between local and remote AI instances
• Enable context-aware task execution over multiple interactions

How to use

Tools exposed

• config__open_relay
• save_summary
• recall_context
• memory-commit
• passport-bootstrap
• entity_search
• entity_graph
• history

Example client config

{\n  "mcp_servers": [\n    {\n      "name": "io.github.n24q02m/mnemo-mcp",\n      "url": "http://localhost:8000",\n      "transport": "http"\n    }\n  ]\n}

Notes

mnemo-mcp is an open-source Python tool that gives AI agents persistent memory using hybrid search and embedded sync. It stores and retrieves context across sessions, enabling long-running conversations or tasks without losing state.

6 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

• Maintain conversation history across AI agent sessions
• Sync memory between local and remote AI instances
• Enable context-aware task execution over multiple interactions

Pros

• Free and open-source with no usage limits
• Hybrid search improves relevance of recalled memory
• Embedded sync keeps memory consistent across environments

Cons

• Requires Python setup and self-hosting
• Limited community support due to low star count
• No built-in encryption for stored memory

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.