Mcp Mem0 provides AI agents with persistent long-term memory capabilities by integrating the Model Context Protocol with the Mem0 memory platform. The server exposes three tools—`save_memory`, `get_all_memories`, and `search_memories`—that enable agents to store information with semantic indexing, retrieve all stored memories, and perform semantic searches across a PostgreSQL database. It solves the problem of AI agents lacking persistent memory between sessions by offering a template implementation that demonstrates MCP server best practices and can be deployed via Python or Docker.
claude mcp add --transport stdio coleam00-mcp-mem0 uvx mcp-mem0