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    • A
      license
      Not graded
      quality
      C
      maintenance
      Laya-MLX as an MCP server (and plain-HTTP API). It answers typed decisions — choose an option / score a rubric / is this true? — on your own machine (Apple Silicon / MLX), with no cloud and ~10ms after warm-up. Not a chatbot. No token-by-token text, no JSON that can break. One forward pass returns a structured answer you can branch on. Ideal for routing, triage, classification, lead scoring, and g
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables fully offline, token-free screening of text through a local Laya typed-decision model, exposing prompt-injection/jailbreak detection plus structured choice, score, and yes/no judgments in about 55ms per call. It also reports service status with measured metrics and known limitations.
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides fast, offline typed decision tools (classify, score, check, triage) to agents via the Model Context Protocol, enabling safe local inference across 100+ languages with calibrated confidence and no text generation.
      8
      21 PyPI
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables local typed decision-making over MCP Streamable HTTP, running Laya and Von models to turn arbitrary state into choice, score, and yes/no answers with probabilities.
      3
      Do What The F*ck You Want To Public

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