Skip to main content
Glama

Related Servers

Alternatives to memsem

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Semantic memory for AI agents — local-first MCP server with hybrid search, knowledge graph, contradiction detection, and plan-then-commit consolidation.
      286 npm
      4
      AGPL 3.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Universal MCP server providing adaptive semantic memory for AI agents, supporting document ingestion, semantic search, chat persistence, cross-project linking, and cloud storage overflow.
      3
      GPL 3.0
    • F
      license
      Not graded
      quality
      B
      maintenance
      A persistent memory server for AI agents using MCP protocol, enabling semantic storage and retrieval of dialogues, documents, and agent states.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      MCP server that provides semantic memory with search, related-content traversal, and write-back capabilities, all powered by local embeddings of your notes, documents, and chat histories.
      3
      MIT

    TDQS

    A3.6/5.0

    Scored across 18 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes (add vs candidate_add vs episode_add, search vs list vs themes), and descriptions clarify boundaries. However, pairings like memory_add/memory_add_many and memory_forget/memory_purge could cause initial confusion, though the descriptions resolve it.

    Naming Consistency3/5

    All tools share the memory_ prefix, but the suffix pattern is mixed: verbs (add, search, list, verify, score, forget, purge) coexist with nouns (themes, stats, audit, index) and compound actions (candidate_add, episode_search). This inconsistency reduces predictability.

    Tool Count4/5

    At 18 tools, the server is slightly above the ideal 3-15 range but each tool addresses a specific aspect of memory management, from candidate review to episode tracking to scoring. The count feels justified by the domain's complexity rather than redundant.

    Completeness5/5

    The tool set covers the full memory lifecycle: write (add, add_many), review (candidate_*), retrieval (search, list, episode_search), maintenance (verify, score, unsuppress), and deletion (forget, purge), plus auxiliary views (themes, stats, audit, index). No obvious gaps for a semantic memory system.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues