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Houtini LM

by Kerstin59718
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    • Houtini LM

      kanokwan0352
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      license
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      quality
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      Enables MCP clients such as Claude Code to hand bounded work — code reviews, boilerplate, commit messages, format conversion, embeddings — to a local or cloud OpenAI-compatible LLM instead of the main model, cutting token spend by keeping large files out of the orchestrator's context. It also provides a cheap second model for reviewing code and verifying results.
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    • Houtini LM

      mOrlov55843
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      license
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      Enables MCP clients like Claude Code to hand bounded work such as code review, boilerplate, commit messages and format conversion to a local GPU model or a cheaper cloud LLM through any OpenAI-compatible endpoint. Keeps the main model as architect and reviewer, cutting token costs while providing a second opinion on code.
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    • Houtini LM

      laylam6170
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      license
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      quality
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      Enables Claude Code and other MCP clients to hand bounded work such as code review, boilerplate generation, commit messages, format conversion and embeddings to a local GPU model, LiteLLM router, OpenRouter, or cheaper cloud API like OpenAI, DeepSeek, Groq or Cerebras. Keeps the orchestrating model as architect and reviewer, cutting token spend and providing a second opinion on code.
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    • Houtini LM

      SoyeonSantos0239
      F
      license
      Not graded
      quality
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      maintenance
      Lets an MCP client hand bounded work such as code review, boilerplate, commit messages, format conversion or embeddings to a local or cloud OpenAI-compatible LLM, so file contents never enter the orchestrating model's context and token costs drop. It also provides a second model to sanity-check code and drafts while the main assistant keeps planning and tool use.
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    • Houtini LM

      SagaZhu805
      F
      license
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      quality
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      Enables Claude Code and other MCP clients to offload bounded work—code review, test stubs, boilerplate, commit messages, format conversion, embeddings—to a local GPU model or a cheaper cloud, OpenAI-compatible endpoint. Source files are read by the server rather than the main model, cutting token spend while the orchestrating model keeps planning and verifying.
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    • Houtini LM

      Nguyen53
      F
      license
      Not graded
      quality
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      An MCP server that lets Claude Code or any MCP client hand bounded work — code review, boilerplate, commit messages, format conversion, embeddings — to a local GPU model, an OpenAI-compatible endpoint, a router, or a cheap cloud API, so those files never enter the orchestrator's context window. This cuts token spend and quota use while providing a second model to sanity-check results.
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