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Alternatives to Central Intelligence

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to store and semantically retrieve durable memories across sessions via MCP or REST, with tools for remembering, recalling, asking, updating, and forgetting memories.
      5 npm
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Provides persistent memory with semantic search for MCP-based AI agents, enabling them to store and recall information across sessions using vector embeddings.
      4
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Provides AI agents with persistent, human-like memory infrastructure via MCP, enabling them to store, search, summarize, and forget episodic, semantic, procedural, and working memories across sessions.
      859 npm
      MIT

    TDQS

    A4.6/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: context for broad bootstrapping, recall for specific queries, remember for writes, forget for deletes, and share for scope changes. The context/recall distinction is especially well-handled with explicit usage guidance for each.

    Naming Consistency4/5

    All tool names are single lowercase words following a consistent imperative style (remember, recall, forget, share). The only minor deviation is 'context', which is a noun rather than a verb, though it still fits the single-word pattern.

    Tool Count5/5

    Five tools is well-scoped for a persistent memory system. Each tool covers a distinct operation (load context, store, search, delete, share) and none feel redundant or unnecessary.

    Completeness4/5

    The core memory lifecycle is covered: write (remember), read (context/recall), delete (forget), and scope management (share). The only minor gap is the lack of an explicit update operation, though the descriptions acknowledge this by recommending forget-then-remember for corrections.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive