Question 1

What is MetaGPT and how does it work?

Accepted Answer

MetaGPT is a multi-agent framework where role‑based agents (PM, Architect, Engineer, QA) collaborate to produce structured outputs like PRDs, designs, and code. It coordinates tasks, shares context, and lets you plug in local or cloud LLMs for each role.

Question 2

How do I install and set up MetaGPT?

Accepted Answer

Install via pip or from source, configure your LLM (OpenAI, Anthropic, or local via Ollama), and set environment variables for model access. Then define agents, create a team, and run a task to generate artifacts like PRDs and code.

Question 3

Can I use MetaGPT with local LLMs like DeepSeek or Llama?

Accepted Answer

Yes. Using Ollama, you can run models like DeepSeek‑Coder or Llama locally and point MetaGPT to the local endpoint. This reduces cost and improves privacy for sensitive projects.

Question 4

What are best practices for prompts in MetaGPT?

Accepted Answer

Use structured briefs with objectives, users, constraints, success metrics, and deliverables. Assign each agent a clear mandate and provide schema‑based output formats (e.g., JSON/YAML) to reduce ambiguity.

Question 5

How do I prevent agents from looping or producing low-quality code?

Accepted Answer

Add step limits and review gates, enforce output schemas, and use specialized models per role (e.g., reasoning‑strong for Architect, code‑strong for Engineer). Include a Tester/Linter agent and run unit tests automatically.

Come utilizzare MetaGPT: Una guida pratica ai workflow multi-agente

Come Usare MetaGPT: Una Guida Pratica ai Workflow Multi-Agente

Cos'è MetaGPT (e Perché è Importante)

Guida Rapida: Installa MetaGPT in 15 Minuti

1) Prerequisiti

- Obiettivo: Una frase che indica l'obiettivo finale.

- Metriche di Successo: Cosa significa "buono".

objective: Build a Python CLI that reads a PDF and produces a 1-page summary in Markdown.

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- Inizia in piccolo, poi scala: Valida la pipeline su una specifica minima prima di grandi progetti.