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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents with long-term memory and retrieval-augmented generation (RAG) capabilities, allowing them to recall past conversations, search local files, and learn user preferences.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides AI agents with persistent knowledge storage, enabling them to store, search, and retrieve text, documents, and files using semantic and keyword search via MCP tools.
      32
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to parse and search documents including PDF, Word, Excel, PowerPoint, and images via OCR, with support for semantic search and batch processing.
      2
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables agents to store, recall, and manage persistent memory documents through MCP tools, with authenticated context tokens and hybrid lexical/vector search.
      MIT

    TDQS

    B3.3/5.0

    Scored across 30 tools

    Disambiguation2/5

    Several tools occupy very similar ground: retrieve, recall, and content all fetch material by identifier with different levels of context, and the 10 deprecated skill-*/agent-* tools duplicate the core learn/search/unlearn/recall/content operations. The descriptions help somewhat, but an agent faces many near-overlapping choices for simple read and write actions.

    Naming Consistency2/5

    Naming is a mix of single-word verbs and nouns (learn, search, status, neighbourhood, gaps), bare abbreviations (gc, rebuild), verb_noun names with underscores (save_evals, mark_result), and a hyphenated compound (auto-capture-review). The deprecated skill-* and agent-* names introduce a third resource-prefix convention, so no coherent naming pattern holds across the set.

    Tool Count2/5

    Thirty tools is too many for this server, especially because ten are deprecated shorthands that should not be used. The 20 core operations are already extensive, so the deprecated duplicates add real selection burden and make the surface feel bloated.

    Completeness4/5

    The knowledge-base lifecycle is well covered: create/learn, read/search/recall/retrieve/content, update/revise, delete/unlearn, plus maintenance (check, gc, rebuild, status) and evaluation (mark_result, save_evals, contradictions, gaps). A notable gap is the lack of an import/restore tool to complement the export snapshot, but agents can work around it.

    Maintenance

    ActivityActive
    ResponsivenessNo issues