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xbrxr03
by xbrxr03

Related Servers

Alternatives to memorygraph

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to maintain long-term, cross-session memory by extracting facts, reconciling state conflicts, and retrieving relevant memories via vector search.
      4
      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
      B
      maintenance
      Provides agents with durable, provenance-aware memory through tools for remembering, recalling, answering, and maintaining information, while structurally resisting injection and confabulation.
      8
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      A source-grounded memory layer for AI agents that stores, links, and recalls factual memories with confidence levels and citations, enabling honest answers when information is not in the record.
      3
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Local-first, source-grounded memory for AI agents, with citations, bitemporal history, review-gated corrections, and MCP tools for search and recall.
      3
      Apache 2.0

    TDQS

    A3.6/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct operation: explain (query graph), recall (retrieve observations), record (store), correct (update claims), forget (delete). No overlapping purposes, and descriptions clearly separate them.

    Naming Consistency5/5

    All tool names are single lowercase verbs, creating a uniform and predictable pattern. This consistency makes it easy to infer the action each tool performs.

    Tool Count5/5

    Five tools is well-scoped for a memory graph server, covering core operations without redundancy. Each tool addresses a necessary part of the memory lifecycle.

    Completeness4/5

    The set covers record, recall, correct, forget, and explain, which covers full CRUD-like operations on claims and observations. Minor gaps like explicit listing or bulk operations exist but are not critical for core usage.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues