mnemo-mcp

mnemo-mcp is an open-source Model Context Protocol (MCP) server designed to give AI agents persistent memory across sessions. It combines keyword matching and semantic understanding in a hybrid search approach, along with embedded synchronization to keep memory data consistent and up-to-date.

Its main advantages are that it is fully open-source, free, and unlimited—no vendor lock-in. You can deploy it locally with Docker or Python, backed by a lightweight SQLite store. It integrates smoothly with MCP clients like Cursor or Claude Desktop, adding long-term memory to AI coding assistants and personal AI agents.

However, the project is still early-stage, with only a handful of GitHub stars and forks, which may mean limited community support and less mature documentation. Deploying and configuring the server requires some technical know-how, so it's not a plug-and-play solution for non-developers. Its reliability hasn't been proven in large-scale production environments.

It suits developers who want to add memory capabilities to their AI agents—for example, letting Cursor remember project-specific preferences or equipping Claude with a persistent personal memory.