MetaGPT

Multi-agent framework for turning specs into software outputs

MetaGPT assigns different roles to LLMs to simulate a software team. It can turn a short requirement into artifacts like user stories, requirements, APIs, and code repositories.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →

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Open Source

Chrome Extension

Code Execution

File Access

Multi-Agent

B2B

For Developers

For Teams

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Recent activity

What's happened with MetaGPT lately

May 23, 2026
Score change
Rubric upgrade v3_0 → v3.1: score 8/32 → 12/368 → 12/36(+4)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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About

What It Is

MetaGPT is an open-source multi-agent framework for building software-oriented AI workflows. According to its README, it organizes LLMs into roles such as product manager, architect, project manager, and engineer so they can work together on complex tasks using defined SOPs.

What to Know

MetaGPT is more of a framework than a finished end-user app. It looks strongest for developers who want to experiment with multi-agent orchestration, code generation, and structured task decomposition. The documentation shows it can generate a repo...

Key Features

Assigns LLMs to software-team roles such as product manager, architect, PM, and engineer

Generates software artifacts from a one-line requirement

Creates a project repository structure from a prompt

Runs from the command line via the `metagpt` CLI

Can be used as a Python library

Use Cases

Generating a starter codebase from a natural-language product requirement

Prototyping multi-agent software workflows for research or internal tools

Running scripted data-analysis tasks through the Data Interpreter example

Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence

Last evaluated: May 23, 2026

This tool has strong action capabilities but limited safety controls. Use with appropriate oversight.

Dimension Breakdown

Action Capability

Autonomy

Planning

Adaptation

State & Memory

Reliability

Interoperability

Safety

Operator Sovereignty

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