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MCP server for AI assistant persistent memory with hybrid search

MCP server for AI assistant persistent memory, combining BM25F and semantic search, with auto-compilation and web UI.

MCP Server for AI Assistant Persistent Memory

This MCP server provides a robust solution for implementing persistent memory for AI assistants. It leverages a hybrid search approach, combining the strengths of BM25F for keyword relevance and semantic search for conceptual understanding. This allows AI agents to efficiently retrieve and utilize past interactions and knowledge, enhancing their contextual awareness and performance.

What it Does

The core functionality of this tool is to act as a persistent memory store for AI assistants. It ingests and indexes data, making it searchable through a combination of keyword-based and vector-based methods. This enables AI agents to recall information accurately and contextually, leading to more coherent and informed responses. The server handles the complexities of data storage, indexing, and retrieval, freeing developers to focus on AI model development.

Key Features

Hybrid Search: Integrates BM25F for keyword matching and semantic search for conceptual similarity, offering comprehensive retrieval capabilities.
Persistent Memory: Stores and manages AI assistant interaction history and knowledge base for long-term recall.
Auto-Compilation: Features automatic compilation for streamlined development and deployment.
Web UI: Includes a web-based user interface for easy management and monitoring of the memory system.
MCP Protocol: Built on the MCP (Message Communication Protocol) for efficient communication with AI agents.

Who it's For

This tool is designed for AI developers and engineers building sophisticated AI assistants, chatbots, and agents that require a persistent and intelligent memory. It is particularly useful for projects where maintaining context across multiple interactions is critical, such as customer support bots, personalized recommendation systems, or complex conversational AI. Developers familiar with the MCP protocol will find this tool a valuable addition to their development stack.