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Related Servers

Alternatives to Memphora

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to store and retrieve persistent memories with a web management interface. Supports creating, searching, and managing memories through natural language commands or a visual web dashboard.
      11 npm
      1
      MIT
    • F
      license
      B
      quality
      D
      maintenance
      Enables 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.
      24
      1
      -
    • A
      license
      A
      quality
      C
      maintenance
      Provides persistent memory capabilities for AI assistants, enabling storage, recall, and analysis of information across conversations with intelligent memory management.
      25
      28 npm
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to manage memories via the mem9 memory service, supporting memory storage, semantic search, retrieval, update, and deletion across multiple platforms.
      5
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides persistent memory for AI assistants, enabling context retention across sessions through hybrid search and memory management tools.
      1
      MIT

    TDQS

    A4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: delete removes memories, extract processes conversations, list shows all memories, search finds specific memories, and store adds new memories. The descriptions reinforce these distinct roles, making misselection unlikely.

    Naming Consistency5/5

    All tools follow a consistent 'memphora_verb_noun' pattern (e.g., memphora_delete, memphora_extract_conversation). This uniform naming convention makes the tool set predictable and easy to understand at a glance.

    Tool Count5/5

    With 5 tools, this server is well-scoped for a memory management system. Each tool earns its place by covering core operations (store, search, list, delete, and conversation extraction), avoiding bloat while providing complete functionality.

    Completeness5/5

    The tool set offers complete CRUD/lifecycle coverage for the memory domain: store (create), search and list (read), delete (delete), and extract_conversation (a specialized create/update). There are no obvious gaps, enabling agents to handle all expected workflows without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues