
External, persistent memory layer for MCP and LLM agents.
Visit Mcp External MemoryMcp External Memory is an open-source plugin/server module for the Model Context Protocol (MCP), designed to provide persistent, searchable, and extendable memory for AI agents. It supports various embedding methods (such as TF-IDF and OpenAI embeddings), uses compressed storage options (with LZ4 and SQLite3), and is suitable for developer workflows looking to enhance agent semantic memory or RAG pipelines. Ideal for teams integrating external memory solutions into their AI or LLM-based architectures.
Visit Mcp External Memory's official website for product details and getting started.
Community discussions and troubleshooting for common issues encountered while using Mcp External Memory.
Practical examples demonstrating how to implement Mcp External Memory in various scenarios.