Can we run MetaGPT locally using Llama 3 to save on API costs?

All answers to this question.

You can definitely hook up MetaGPT to local models using the OpenAI-compatible API endpoints provided by Ollama or LM Studio. I’ve tried it with Llama 3 (70B), and it works surprisingly well for the "Engineer" and "Reviewer" roles. However, I found that the "Architect" and "Product Manager" roles really struggle on smaller models; they tend to miss the high-level structural constraints that GPT-4 picks up easily. A good middle ground is using a local model for the code generation (which is token-heavy) and a high-end cloud model for the initial planning and final security review.

   Answered 2025-07-18 by Julia Bennett

How is the latency when running five agents locally? Even on a high-end Mac Studio, I imagine the "discussion" between agents could take quite a while compared to the cloud APIs.

   Answered 2025-07-22 by Samuel Wright

• It’s definitely slower. On my RTX 3090, a full MetaGPT run that takes 2 minutes on OpenAI can take 10-15 minutes locally. But if you're doing 50 runs a day to test different architectural patterns, those savings add up fast, and the privacy of keeping your code on-prem is often worth the extra few minutes of waiting.

     Commented 2025-07-25 by Larry Scott

The local setup is great for prototyping features you don't want to leak, but for a production-ready codebase, the reasoning of GPT-4 is still king.

   Answered 2025-07-30 by Cynthia Taylor

• Agreed. Privacy is the big winner here. For sensitive enterprise projects, running the framework on a secure local instance is the only way to go.

     Commented 2025-08-02 by Nathan Drake