How do I set up OpenDevin with a local Ollama instance?

All answers to this question.

Setting up OpenDevin with Ollama is straightforward but requires a beefy GPU if you want decent performance. You need to set the LLM_BASE_URL to your local Ollama endpoint and ensure the model is pulled correctly. However, a warning: small models like Llama 3 8B often struggle with the complex tool-calling logic that OpenDevin requires. For a true "Devin-like" experience, I recommend at least a 70B model or the specialized Codestral model. The OpenDevin agent is only as smart as the brain you give it, so don't skimp on the parameters.

   Answered 2025-06-12 by Heather Miller

Is there a specific Docker image for OpenDevin that comes pre-configured for local GPU passthrough?

   Answered 2025-07-05 by Brandon Taylor

• Brandon, you should use the official GHCR image and pass the --gpus all flag if you're on Linux. The OpenDevin community has documented the NVIDIA Container Toolkit setup quite well in the README. Just make sure your Docker version is up to date, or the OpenDevin sandbox won't be able to access the host's hardware acceleration for the internal LLM calls.

     Commented 2025-07-10 by Justin Fisher

I got it working on a Mac Studio with M2 Ultra. The OpenDevin response time is nearly instant with local models.

   Answered 2025-08-15 by Ryan Garcia

• That M2 Ultra is a beast! OpenDevin really shines on Apple Silicon thanks to the unified memory when running 70B+ models locally.

     Commented 2025-08-18 by Katherine Rivera