mcp-memory
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- FlicenseNot gradedqualityDmaintenanceEnables AI systems to remember interactions, understand document context through semantic search, and intelligently route requests with persistent memory and quality-scored content synthesis.-
- AlicenseNot gradedqualityDmaintenancePersistent memory and knowledge graph server that fuses keyword, vector, and graph search into a single query, enabling AI assistants to recall typed entities and relationships across sessions.MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to store and retrieve persistent memories using BM25 search, allowing them to remember past conversations and context across sessions.8MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to share persistent memory by capturing, classifying, synthesizing, and retrieving knowledge through token-optimized, three-tier retrieval with hybrid keyword and semantic search. Supports bidirectional Obsidian sync, session and bug-fix capture, and a self-learning loop that compounds context across sessions.14 npmMIT
- FlicenseBqualityDmaintenanceEnables persistent memory for AI systems by providing tools for episodic, semantic, and procedural data storage through a vector-and-graph-enhanced database. It allows models to maintain long-term continuity using similarity search, thematic clustering, and identity tracking.241-
- AlicenseNot gradedqualityBmaintenanceEnables agents to maintain multi-tier memory across working scratchpad, dialogue buffer, and episodic stores with recency decay. Supports hybrid BM25/vector retrieval, rank fusion, graph expansion, and context reordering for optimized MCP-based memory and RAG workflows.7MIT
TDQS
Scored across 7 tools
The core CRUD tools (write/read/update/delete) are clearly distinct. However, search_memories and recall overlap in retrieval, though recall's modes (similar/fuse) are semantically distinct from exact substring matching, so boundaries are mostly clear.
All tool names follow a consistent verb_noun pattern in snake_case (write_memory, read_memories, search_memories, update_memory, delete_memory, get_stats). 'recall' is a single verb but fits the action-oriented style without breaking consistency.
Seven tools is well-scoped for a memory management server, covering all essential operations without redundancy or bloat. Each tool serves a clear purpose and earns its place.
The set provides full CRUD lifecycle (create, read, update, delete), plus dedicated search and statistical functions. The multi-mode recall covers advanced retrieval needs, leaving no obvious gaps in the memory domain.