{"id":"memory-graph-memory-graph","name":"memory-graph","af_score":61.2,"security_score":52.5,"reliability_score":17.5,"what_it_does":"MemoryGraph is an MCP server for AI coding agents that provides persistent, graph-based memory. It lets agents store “memories” (typed items with tags/importance) and create relationships between memories, then retrieve them via recall/search tools (including an “extended” profile with more complex queries and DB statistics).","best_when":"You’re using an MCP-capable coding agent and you want structured, relationship-aware recall beyond flat text or basic retrieval.","avoid_when":"You cannot control what the agent stores (or you don’t have a prompting/protocol strategy), and when you need fully documented production SLAs/error semantics beyond what the README shows.","last_evaluated":"2026-03-30T13:38:17.452228+00:00","has_mcp":true,"has_api":false,"auth_methods":["Local/in-process tool usage (no auth described for SQLite/Core)","Optional cloud backend via MEMORYGRAPH_API_KEY"],"has_free_tier":false,"known_gotchas":["MCP tool providers don’t automatically store memories; the agent must be prompted/configured (e.g., via CLAUDE.md protocol) to use tools.","Persistence/behavior differs by backend mode (SQLite vs other backends); ensure correct backend configuration for multi-session expectations.","If relationships are important, the agent must explicitly create them (tool calls) rather than assuming they are inferred automatically."],"error_quality":0.0}