Question 1

How much does it cost to run MetaGPT with GPT-4?

Accepted Answer

Costs depend on token usage from multiple LLM calls; for complex tasks, it can be expensive. Configuring with cheaper models like GPT-3.5-turbo reduces costs but may impact output quality, as mentioned in the setup docs.

Question 2

Can MetaGPT work offline or with local models?

Accepted Answer

It requires internet access for default LLM APIs, but can be configured with local models via Ollama or similar services, though this adds complexity and may reduce performance, as indicated in the configuration options.

Question 3

MetaGPT vs AutoGPT: which is better for AI agents?

Accepted Answer

MetaGPT excels in multi-agent collaboration with structured SOPs for software development, while AutoGPT is more general-purpose for autonomous tasks. MetaGPT offers better orchestration but is specialized for collaborative workflows.

Question 4

How to customize agents in MetaGPT for my own project?

Accepted Answer

Use the tutorials in the documentation to extend base classes and define roles; this requires Python knowledge and understanding of the framework's architecture, as detailed in the agent development guides.

Question 5

Is the code generated by MetaGPT production-ready?

Accepted Answer

Not typically; it often needs human review, testing, and refinement. Best used for prototyping or generating initial drafts, as AI-generated code can have bugs or inefficiencies.

Question 6

What are the system requirements for installing MetaGPT?

Accepted Answer

Requires Python 3.9 to 3.11, node.js, pnpm, and resources for LLM API calls. The README provides detailed installation steps, including Docker options for easier deployment.

MetaGPT

What is MetaGPT?

Overview

Use Cases

Best For

Related Projects

Found a gem we're missing?

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions