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DAiMON

DAiMON

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI coding agents to consult persistent local project memory before acting, checking proposals against rejected ideas, repeated failure loops, goal drift, stale assumptions, and evidence-based completion criteria, and returning ALLOW, WARN, or BLOCK decisions so context loss after compaction doesn't cause repeated mistakes.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to record decision summaries when suggestions are rejected or corrected, and to search past decisions in later sessions so users do not repeat the same corrections.
      AGPL 3.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents to record rejected approaches, decisions, and constraints, with expiring reasons, in a git-tracked Markdown store the agent consults before proposing anything. This makes agents stop re-suggesting options that were already ruled out, and entries quietly drop out of view once they lapse.
      42 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Gives AI assistants a reliable memory for proven, verified skills, enabling them to reuse successful solutions and avoid repeating mistakes.
      181 npm
      1
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides AI-assisted judgment calibration by surfacing counterexamples, boundaries, and blind spots from a local knowledge base before acting on model answers.
      -
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to persistently recall, apply, and reinforce solutions to previously solved problems across different models and tools, so mistakes are not repeated.
      14
      20 npm
      1
      MIT