{"id":"chemiguel23-memorymesh","name":"MemoryMesh","af_score":59.0,"security_score":30.0,"reliability_score":35.0,"what_it_does":"MemoryMesh is a local knowledge-graph MCP server for persisting structured “memory” (nodes and edges) for AI models. It loads schema files to dynamically generate add/update/delete tools for each entity type, stores data in a local JSON memory file, and optionally provides a separate Memory Viewer web app for visualization.","best_when":"You want local, schema-driven structured memory for an AI client via MCP (e.g., Claude Desktop) and can manage data persistence on disk.","avoid_when":"You need remote access across untrusted networks or fine-grained access control, or you require strong durability/concurrency guarantees beyond a single JSON file.","last_evaluated":"2026-03-30T13:33:13.445846+00:00","has_mcp":true,"has_api":false,"auth_methods":["None described (local MCP server started via node command)"],"has_free_tier":false,"known_gotchas":["Schema recognition depends on filenames and naming conventions (schema name must start with add_).","Default schema/memory file locations are version-dependent (e.g., dist/data/schemas since v0.2.7).","Local persistence via JSON file implies concurrent writes could be problematic; no concurrency guarantees are stated."],"error_quality":0.0}