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Since oMLX 0.7.1.dev1, one server on your Mac serves Qwen on /v1/chat/completions and the Clef decision models on /v1/systemone. On an M5 Max, Clef-flash decided each ticket in 111 ms and, with Qwen writing the reply, triage got 39 of 40 labels right against 34 with Qwen alone.
To install gsd-pi, the Open GSD terminal agent, run npx @opengsd/gsd-pi@latest with Node.js 22.18 or later. It works without an API key: with a models.json pointing at llama.cpp and a 64k context, a 4B Qwen3.5 finished a task with 12 passing tests and a commit. gsd-core, by contrast, installs inside Claude Code or OpenCode.
OpenCode uses a local model when you declare an @ai-sdk/openai-compatible provider in opencode.json with the llama-server or Ollama URL and the model's context limit. Version 1.18.31 sends 7,516 tokens on its first turn, so the 4k context Ollama assigns by default without a large GPU is not enough: reserve 32k.
Dify Agent, the Linux-sandbox agent Dify introduced in 1.16, works with a local model once you install the Ollama plugin and switch on tool calling. With Dify 1.17.1 and Qwen3.5-4B on a CPU, the published agent returned correct figures in three out of three runs; Build mode finished none of its three sessions.
