Browse 23 Model Context Protocol servers in the AI Memory & Knowledge Tools category.
A powerful MCP memory using a knowledge graph powered by elastic search
This is a personal project to determine whether or not Claude 3.5 Sonnet can write moderately complex MCP Server code (Python).
MCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development
I enhance the existing memory mcp server from the official mcp github, so big thanks and credits for creating this
A Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.
This is an MCP server for retrieving all files in the memory-bank directory at once. Its purpose is to reduce AI tool invocation frequency when loadin...
🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, an...
MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
MCP Memory Server with Neo4j backend for AI knowledge graph storage
MCP server providing a knowledge graph implementation with semantic search capabilities powered by Qdrant vector database
An MCP server to extend the context of agents. Useful when coding big features or vibe coding and need to store/recall progress, key moments or change...
A flexible system for managing various types of sources (papers, books, webpages, etc.) and integrating them with knowledge graphs.
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