mcp-memory-graph

A context-aware memory MCP server for Claude Code and any MCP-compatible AI agent. Goes beyond basic vector search by adding authority weighting, conflict detection, and typed relationship edges between memories — so your agent always retrieves the right answer when sources disagree. Inspired by the context engine architecture described in Unblocked's "How a Context Engine Actually Works". Why this exists Standard memory MCP servers store and retrieve memories by semantic similarity. That works until you have conflicting memories — an old instruction saying one thing and a new one saying another. Without authority weighting, the agent retrieves whichever is semantically closer to the query, not whichever is more trustworthy.