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Alternatives to mcp-super-memory

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    Related Servers

    • A
      license
      A
      quality
      A
      maintenance
      Associative 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.
      14
      1,611 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables 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
    • A
      license
      A
      quality
      A
      maintenance
      Enables 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.
      10
      243
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Provides 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.
      14
      14 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides persistent knowledge graph memory for AI agents, enabling them to store, recall, and query facts about people, projects, and relationships across sessions.
      MIT

    TDQS

    A4.2/5.0

    Scored across 10 tools

    Disambiguation5/5

    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.

    Naming Consistency5/5

    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.

    Tool Count5/5

    Ten tools provide comprehensive coverage without redundancy. Each tool earns its place, covering CRUD, batch operations, exploration, and system maintenance.

    Completeness4/5

    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.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues