memory MCP
this might be interesting. haven't tried it yet. there is a free and open source version as well.
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OpenMemory MCP: Persistent, Private Memory for AI Tools
Today, most AI assistants and development tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends.
OpenMemory MCP solves this.
Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately.
Key Capabilities
  • ✅ Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline, and more
  • ✅ Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories)
  • ✅ Stores data on your machine, fully private
  • ✅ Offers a centralized dashboard for visibility and control
  • ✅ Simple Docker-based setup with no vendor lock-in
If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control.
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Ray Merlin
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memory MCP
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