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Make it easy for agents to build their context about your projects over time The server provides a set of tools to help agents accumulate knowledge about a project over time in a structured way. These memory documents represent living documents that grow and evolve rich context to help the MCP client better serve requests in that area. Memory documents are stored as markdown files in the filesystem, allowing direct access and editing if you want to take a more hands-on approach. The main focus, though, is on giving the MCP client a place to deliberately keep track of info that will be helpful in the future.
Nova MCP servers collection - Puppeteer, GitHub, and Basic Memory integrations
Mirror of
MCP server for long term agent memory with Mem0. Also useful as a template to get you started building your own MCP server with Python!
✨ mem0 MCP Server: A modern memory system using mem0 for AI applications with model context protocl (MCP) integration. Enables long-term memory for AI agents as a drop-in MCP server.