mcp-super-memory
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- AlicenseAqualityAmaintenanceAssociative key-graph memory for LLM agents — recall facts by association (recall → read_key → read_memory) instead of vector similarity alone, with persistent cross-session memory and cross-lingual keys.141,611 npm3MIT
- AlicenseNot gradedqualityBmaintenanceEnables persistent, graph-based memory for AI agents, allowing them to store, traverse, and recall relationships between facts, decisions, and context across sessions for efficient reasoning and reduced token usage.MIT
- AlicenseAqualityAmaintenanceEnables AI agents to persist memories across sessions and recall them through graph-traversal spreading activation over interconnected neurons with explicit relationship types, supporting multi-hop reasoning fully offline without embedding API costs.10243MIT

Memsolus MCP Serverofficial
AlicenseAqualityDmaintenanceProvides persistent long-term memory for AI agents through semantic search and automated knowledge graph extraction. It enables agents to store, recall, and reason over facts, preferences, and relationships across multiple conversations and sessions.1414 npmMIT- AlicenseAqualityCmaintenanceEnables AI agents to store, retrieve, and connect information in a Neo4j graph database as persistent memory, with semantic relationships, natural language search, and temporal tracking across conversations.9657 npm69MIT
- AlicenseNot gradedqualityCmaintenanceProvides persistent knowledge graph memory for AI agents, enabling them to store, recall, and query facts about people, projects, and relationships across sessions.MIT
TDQS
Scored across 10 tools
Each tool has a distinct role in the memory lifecycle: creation (remember, remember_batch), retrieval (recall, list_memories, get_conversation), update (correct), deletion (forget), exploration (related), and maintenance (cleanup_expired, memory_stats). The overlap between remember and remember_batch is clearly explained as single vs batch.
Names are consistently lowercase snake_case with clear verbs (recall, remember, correct, forget) and noun-prefixed operations (get_conversation, list_memories, memory_stats). No mixed conventions like camelCase or inconsistent verb styles.
Ten tools provide comprehensive coverage without redundancy. Each tool earns its place, covering CRUD, batch operations, exploration, and system maintenance.
The set covers the full memory lifecycle: save, search, list, update, delete, link exploration, batch save, and maintenance. A minor gap is the lack of a direct 'get memory by ID' tool, though recall and related can surface memory content.