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cogniahq

@cogniahq/mcp

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by cogniahq

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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to share persistent memory by ingesting knowledge from sources like Obsidian, code, documents, web clips, and terminal sessions, then providing token-optimized search, context, classification, synthesis, and capture tools through MCP and REST APIs.
      14 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to query your complete local conversation history and knowledge graph over MCP, including full-fidelity transcripts, search, and typed, dated entity relationships.
      AGPL 3.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to capture, classify, synthesize, and retrieve persistent shared knowledge from sources such as Obsidian, code, transcripts, bookmarks, and sessions. It provides token-efficient search, context briefings, and tiered memory through MCP and REST APIs.
      14 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP-compatible AI assistants to save, recall, and reason over a persistent, shared memory vault stored as Notion pages, so conversations, decisions, tasks, and entities survive session resets, new branches, and handoffs between teammates and agents.
      347 npm
      MIT

    TDQS

    A3.8/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: action planning vs execution, and memory retrieval via different methods (get by ID, list chronologically, search semantically). No overlap.

    Naming Consistency4/5

    All tools share the 'cognia_' prefix, but naming patterns vary: two use 'domain_verb' (action_execute, action_plan), two use 'verb_noun' (get_memory, list_memories), and one uses just a verb (cognia_search). Also singular/plural inconsistency (memory vs memories).

    Tool Count5/5

    With 5 tools covering two distinct domains (actions and memories), the count is well-scoped and not overwhelming or too sparse.

    Completeness3/5

    The actions domain covers plan and execute but lacks listing, updating, or canceling actions. The memory domain allows reading (get, list, search) but no create, update, or delete operations, leaving notable gaps for a full lifecycle.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues