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Alternatives to agent-fastpath

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Exposes local MCP tools for typed, calibrated LLM decisions — gating risky actions, yes/no judging, classification, ordinal rating, and multi-question decisions in one pass. Runs on the model Devin's CLI already provides via ACP (or a fully offline local backend), so agents get calibrated confidence with no extra API key, no Ollama, and no waitlist.
      46 PyPI
      6
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that brings a local MLX-powered decision layer to coding agents, letting them choose short workflow actions such as task routing, risk checks, next steps, and test/review decisions without cloud APIs.
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to run local, CPU-only inference for decision tasks such as choosing among labels, estimating yes/no probability, and scoring ordered descriptions. Exposes these capabilities through MCP tools, REST/Swagger endpoints, and a browser test console without GPUs, paid APIs, or databases.
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      Enables Claude Code and other MCP clients to obtain fast, low-latency snap decisions — tool choice, option selection, and abstention when confidence is low — from a pluggable local decision engine such as Laya, Von, an Ollama chat model, or a custom provider. Engines can be swapped without changing the stable tools the client sees, with validation, per-attempt timeouts, confidence thresholds, and fallback chains handled by the server.
      3
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables LLM agents to route responses as accept, verify, or ask-a-human based on token logprobs, and provides an MCP server for delegating generation to local models with confidence bands.
      MIT

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