Skip to main content
Glama
9thLevelSoftware

Daemon-MCP

Related Servers

Alternatives to Daemon-MCP

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Persistent memory for AI coding agents that stores and recalls preferences, decisions, and conventions via semantic similarity, with zero cloud dependencies and plug-and-play MCP integration for Claude Code.
      Apache 2.0
    • F
      license
      Not graded
      quality
      F
      maintenance
      Cognitive memory system for AI agents with 129 MCP tools. Persistent 6-tier hierarchical memory (working→short-term→long-term→semantic), Ebbinghaus forgetting curves, dream consolidation, hybrid retrieval (BM25+RRF), goal tracking, emotional recall, knowledge graphs, and a 26-job consciousness daemon. Works with Claude Code, Cursor, and any MCP client.
      -
    • A
      license
      A
      quality
      A
      maintenance
      Persistent memory for AI coding agents, storing decisions, bug fixes, conventions, and discoveries in a local SQLite database and automatically recalling them when relevant. Works with Claude Code, Codex, Cursor, Gemini CLI, and other MCP-compatible agents.
      22
      2
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Gives AI persistent personal memory with hybrid search, temporal decay, and knowledge graph. Works with Claude and any MCP client.
      23 npm
      10
      MIT
    • A
      license
      D
      quality
      C
      maintenance
      SuperMemory is an MCP-first learning memory layer for agents. It helps Claude, Cursor, and other MCP clients reuse validated lessons from prior failures, corrections, and outcomes without saving full transcripts.
      29
      25 PyPI
      2
      MIT

    TDQS

    C2.6/5.0

    Scored across 11 tools

    Disambiguation4/5

    Each tool targets a distinct operational domain (memory, rules, code, decisions, housekeeping), with only minor overlap between explore and consult in retrieval contexts. Descriptions are clear enough to differentiate them.

    Naming Consistency3/5

    Tool names mix single verbs (reflect, explore, commune) with compound forms (simulate_decision, evolve_rule, debate_internal). This inconsistent pattern makes it harder to predict tool function from name alone.

    Tool Count5/5

    11 tools is well within the ideal 3-15 range, and each tool bundles a coherent set of sub-operations that justifies its presence. The count feels appropriate for the server's broad scope.

    Completeness4/5

    The surface covers memory, rules, code comprehension, decision analysis, session management, and housekeeping. Minor gaps include lack of explicit rule deletion and some overlapping retrieval methods, but these do not significantly hinder agent workflows.

    Maintenance

    ActivityStale
    ResponsivenessUnresponsive