Yeschef: Claude Code dispatches work to Ollama on my LAN (627 tok/s on 3 NUCs)

Hey HN, along with many of you I’ve been burning through my Claude Code usage and have been wondering how I can save on costs and still make the most of it.

I’m also a big local model enthusiast, but the truth is I don’t believe people should have to binary switch between a local setup and OpenAI/Anthropic.

So instead of making it about hosted vs local, I decided to build a tool which allows Claude Code or Codex to delegate work to subagents running locally on your machine (or network) OR via other provider (OpenRouter).

This is different from the typical subagents you can spin up which will contribute to your usage quota/token costs. It also means you can put your GPU to use for simpler tasks instead of letting Claude burn usage on less important work.

Check it out here: https://github.com/labscommunity/yeschef

Open to feedback :)

I tried so many models on my Mac M5 Max with 48GB using Ollama... it was always so slow, I know it's because of the 48GB of RAM but still... I don't know if it's worth investing in the hardware when we get a new model every month and the hardware requirements are going up and up so fast=/