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Glama

Related Servers

Alternatives to Brain-MCP

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Provides persistent memory capabilities for AI assistants, enabling storage, recall, and analysis of information across conversations with intelligent memory management.
      25
      63 npm
      MIT
    • F
      license
      B
      quality
      D
      maintenance
      Enables persistent memory for AI systems by providing tools for episodic, semantic, and procedural data storage through a vector-and-graph-enhanced database. It allows models to maintain long-term continuity using similarity search, thematic clustering, and identity tracking.
      24
      1
      -
    • A
      license
      A
      quality
      A
      maintenance
      Provides long-term memory and a temporal knowledge graph for AI agents, enabling persistent memory and reasoning across sessions.
      33
      30 PyPI
      2
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Cognitive memory engine for AI agents with 5,100+ knowledge modules, circadian rhythm awareness, emotional state tracking (PAD model), and hybrid semantic search. Supports persistent per-user memory, project-scoped contexts, and multi-protocol access.
      26
      23
      Apache 2.0

    TDQS

    B3.3/5.0

    Scored across 24 tools

    Disambiguation4/5

    Most tools have distinct purposes, but some overlap exists. For example, 'getThinkingProgress' and 'getThinkingStats' both provide statistics about thinking processes, which could cause confusion. However, the descriptions clarify that one focuses on a specific thought chain while the other gives overall statistics, helping to differentiate them.

    Naming Consistency5/5

    Tool names follow a highly consistent verb_noun pattern throughout, such as 'addLongTermMemory', 'getActiveChains', and 'updateLongTermMemory'. All tools use camelCase with clear, descriptive verbs and nouns, making them predictable and easy to understand.

    Tool Count3/5

    With 24 tools, the count is borderline high for a cognitive processing server. While the domain is complex, this many tools might feel heavy and could overwhelm agents, though each tool appears to serve a specific function in memory and thought management.

    Completeness5/5

    The tool set provides comprehensive coverage for cognitive processing, including CRUD operations for memories (add, get, update, delete), thought chain management (start, branch, complete, pause, resume), and system monitoring (stats, progress). There are no obvious gaps, supporting full lifecycle management of thoughts and memories.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues