MCPFast / Tools / Munin-Memory: Persistent memory for self-hosted AI assistants
Portable MCP server with SQLite and sqlite-vec for performant persistent memory for AI assistants.
View on GitHub→Munin-Memory provides a robust and performant solution for integrating persistent memory into your self-hosted AI assistants. Built as a portable MCP server, it leverages SQLite and sqlite-vec to ensure efficient data storage and retrieval, crucial for maintaining context and state in complex AI applications. This tool is designed for developers who require reliable and scalable memory solutions without relying on external cloud services.
Munin-Memory acts as a dedicated memory backend for your AI agents. It allows your AI models to store and recall information over extended periods, enabling them to learn from past interactions, maintain conversational context, and access a knowledge base. By utilizing SQLite, it offers a lightweight yet powerful database solution that can be easily deployed and managed locally. The integration with sqlite-vec specifically enhances its capability for vector similarity search, a key component for many modern AI applications like retrieval-augmented generation (RAG).
Munin-Memory is ideal for AI developers and engineers building self-hosted AI assistants, chatbots, or any application requiring persistent memory and efficient data retrieval. If you are working on projects that demand local control over data, require performant vector search capabilities, and want to avoid the overhead of cloud-based memory solutions, Munin-Memory is a valuable tool. It's particularly suited for those who prioritize a streamlined, integrated approach to AI development.