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    • A
      license
      Not graded
      quality
      A
      maintenance
      Audit-grade memory backbone for agent teams. Bi-temporal facts (event time + transaction time, with recall(as_of=...) replay), 6-step deterministic retrieval (no LLM in the critical path), conversation ingest with speaker-locked dual-pass extraction, per-tenant Postgres row-level security, and Ed25519-signed provenance. Postgres + pgvector + Neo4j defaults.
      37 PyPI
      14
      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.
      51 PyPI
      3
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides local-first persistent memory with a typed knowledge graph and bounded multi-hop retrieval via MCP, letting coding agents and local LLM systems store, search, and recall facts across sessions without hosted services or model dependencies.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Embedded memory and retrieval engine for AI agents, providing local-first memory with MCP support for multi-agent access control.
      3
      22 PyPI
      2
      MIT

    TDQS

    A3.5/5.0

    Scored across 8 tools

    Disambiguation4/5

    Most tools have distinct purposes, but context_assemble and memory_checkout overlap in functionality since checkout wraps assembly. memory_feeling_of_knowing is clearly experimental and distinct. Descriptions guide usage, preventing major confusion.

    Naming Consistency2/5

    Naming is inconsistent: most tools start with 'memory_', but context_assemble does not. Verbs and nouns are mixed (e.g., memory_append vs memory_capabilities), and context_assemble uses noun_verb order instead of verb_noun.

    Tool Count5/5

    8 tools is appropriate for a memory management system. Each tool covers a core operation (append, invalidate, query, feedback, capabilities, prediction, assembly), without being excessive or sparse.

    Completeness4/5

    The tool set covers the memory lifecycle: add (append), retrieve (checkout/query), update (invalidate), feedback, and discovery (capabilities). Missing a dedicated delete tool, but invalidate handles temporal updates. Minor gaps, but core workflows are supported.

    Maintenance

    ActivitySlowing
    ResponsivenessResponsive