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Alternatives to keymem

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    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Persistent memory for LLM agents — episodic/semantic/procedural memory, auditable forgetting, and a benchmark proving it actually recalls things days later.
      5
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Long-term memory for AI agents. Compiles conversations into a structured knowledge base with Claim/Evidence model, source provenance, append-only timeline, and contradiction detection. Multi-path retrieval (Exact + BM25 + Graph + weighted RRF + reranker) — 96.6% R@5 on LongMemEval-S, zero vector dependencies.
      8
      3
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Long-term memory for AI agents over MCP — episodic + semantic memory, a temporal knowledge graph, and a dialectic user model, exposed as 32 tools (recall, remember, context, graph, dreaming, peers). Zero dependencies, runs fully offline; leads the LoCoMo benchmark at ~35x fewer LLM calls.
      2
      Apache 2.0
    • A
      license
      B
      quality
      D
      maintenance
      Persistent, graph-powered memory for AI agents that provides long-term semantic recall using a local Kuzu graph database.
      55
      3
      MIT

    TDQS

    A4.1/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool maps to a distinct operation: retrieval (browse_keys/read_key/read_memory/recall), writing (remember/remember_batch), updating (correct/confirm_memory), and deleting/decaying (forget/dismiss). The only close pair, remember vs remember_batch, is clearly separated by single vs multiple facts. Correct, forget, and dismiss are carefully differentiated with usage guidance.

    Naming Consistency4/5

    The toolkit uses imperative lowercase verbs throughout, with many verb_noun compounds like read_key, read_memory, browse_keys, and confirm_memory. However, several tools are standalone verbs without objects (recall, correct, dismiss, forget, remember), creating a slight inconsistency in naming shape.

    Tool Count5/5

    Ten tools is a well-scoped size for a memory server covering search, browsing, reading, writing, updating, and forgetting. Each tool has a clear role, and there is no redundant surface area. The batch variant of remember is justified by efficiency and does not feel like filler.

    Completeness4/5

    The core lifecycle is covered: recall/read for retrieval, remember/remember_batch for creation, correct/confirm_memory for updates, and forget for deletion, plus dismiss for link-level correction. Minor gaps exist around namespace enumeration and explicit alias/history management, but agents can complete normal workflows without dead ends.

    Maintenance

    ActivityActive
    ResponsivenessNo issues