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Alternatives to living-memory-engine

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    Related Servers

    • A
      license
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      quality
      A
      maintenance
      Self-hosted MCP server giving AI agents persistent memory for personalization and context across conversations.
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    • A
      license
      A
      quality
      C
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      MCP server providing persistent memory for AI agents, enabling them to read, write, and query memories across sessions.
      9
      9 npm
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    • A
      license
      Not graded
      quality
      D
      maintenance
      MCP server providing managed persistent memory for AI agents. Read and write structured state across sessions, tools, and restarts at 1000+ requests per second, with no infrastructure to self-host or operate.
      2
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    • F
      license
      Not graded
      quality
      B
      maintenance
      Provides a self-hosted shared memory service that lets AI agents capture and recall durable facts, decisions, and context across multiple tools and MCP-capable clients.
      3
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides a single self-hosted memory service that any AI assistant can write to and recall from over MCP or REST, storing episodic, semantic, procedural, reflective and session memories in one shared store. Enables agents to remember events as they happen and receive a ranked, token-budgeted brief of relevant history, counts, lessons and procedures before they act.
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    TDQS

    A4.2/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: add, search, summarize, and delete. There is no meaningful overlap between retrieval (search) and store-state inspection (state), and forget is explicitly destructive and separate.

    Naming Consistency4/5

    All tools share a consistent memory_ prefix and lowercase style. memory_state is a noun where the others use action verbs, which is a minor deviation but does not create confusion.

    Tool Count5/5

    Four tools is a well-scoped, focused set for a memory engine. Each tool covers a core need without unnecessary surface area or duplication.

    Completeness4/5

    The toolset covers the essential lifecycle: store, retrieve, inspect state, and delete. A precise single-item delete or explicit memory update would round it out, but the destructive substring delete plus memory_add makes common workflows workable.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive