This connects your AI assistant to AutoMem's graph-vector memory backend, giving it persistent recall across all your conversations in Claude Desktop, Cursor, and other MCP clients. It exposes tools to store memories, query by semantic similarity, and create 11 different relationship types between memories (like "causes," "supports," "contradicts"). The architecture combines FalkorDB's graph database with Qdrant's vector search for sub-second retrieval. Setup takes 30 seconds if you're running AutoMem locally or on Railway. You get a one-click installer for Claude Desktop, automatic memory rules for Cursor, and session hooks for Claude Code. Reach for this when you want your AI to remember your coding patterns, past decisions, and project context instead of starting every conversation from scratch.
claude mcp add --transport stdio verygoodplugins-mcp-automem uvx mcp-automem