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MetaGPT

Active·★ 68.4k·MIT·Updated 2026-01-21
★ Most Popular★ Trending★ Essential

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

MetaGPT is a multi-agent framework that assigns different roles to LLMs, enabling them to collaborate on complex software development tasks. It takes a one-line requirement and outputs comprehensive project artifacts, mimicking a software company's entire process.

#Multi-Agent System#Large Language Models#Software Development#AI Agent Framework#Automated Programming#Coding
$ Install
$ pip install --upgrade metagpt
↗ Visit site★ GitHub
01

Features

01Accepts single-line requirements and generates comprehensive software artifacts (e.g., user stories, APIs, documentation).
02Emulates a software company by assigning distinct roles (e.g., PM, Architect, Engineer) to LLM agents.
03Orchestrates collaborative processes using Standard Operating Procedures (SOPs) for complex task completion.
04Supports integration with various Large Language Models and APIs (e.g., OpenAI, Azure, Ollama, Groq).
05Enables advanced capabilities like data interpretation and automated workflow generation.
02

Compatibility

OpenAI
Supported
Verified via docs
Azure OpenAI
Supported
Verified via docs
Ollama
Supported
Verified via docs
Groq
Supported
Verified via docs
03

Quick start

1
$ pip install --upgrade metagpt
04

Use cases

↳Data Interpreter
↳Debate
↳Researcher
05

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Related searches

MetaGPT AlternativesBest LLM Infra Tools 2026Open Source LLM InfraMetaGPT TutorialMetaGPT Vs CompetitorsMulti-Agent SystemLarge Language ModelsSoftware Development

Comments

Log in to leave a comment
  • R
    Remy MartinezApr 28, 2026

    asked it to build a simple todo app and it produced a full project structure with tests. pretty wild tbh

  • P
    Phoenix KimApr 8, 2026

    setup was involved but docs walk you through it. output quality varies a lot depending on how detailed your prompt is

  • H
    Harper WilsonApr 2, 2026

    Works best for well-defined tasks. Open-ended requests go off-rail, but scoped to a specific feature it's excellent.

  • Quinn Lee
    Quinn LeeFeb 28, 2026

    Prototyped an entire API service in under 2 hours. Still needed cleanup, but the scaffolding saved real time.

  • E
    Elliot ThompsonFeb 6, 2026

    Described what I wanted and got working code back. Don't fully understand how it works but the results were useful.

  • R
    Rowan WilsonJan 22, 2026

    Tested on Python 3.10 and 3.12. The LLM API calls add up in cost fast — set spending limits before running complex tasks.

  • S
    Shawn ClarkJan 18, 2026

    for building automated software pipelines this is probably the most mature open-source option right now

  • S
    Sutton JohnsonJan 14, 2026

    The multi-role workflow catches more edge cases than single-shot code generation. The code review agent in particular adds real value.

  • C
    Cameron HarrisJan 2, 2026

    The 'AI software company' framing is a useful mental model. Wrote about the PM→engineer→reviewer agent pipeline in my AI newsletter.

  • R
    Rebel LewisDec 4, 2025

    MetaGPT's role-based agent architecture is the right abstraction for software development tasks. We use it for boilerplate generation internally — quality is consistently better than single-agent approaches.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 68.4k
Last commit4mo ago
StatusActive
LicenseMIT
CategoryLLM Infra
Trend (30d)
+2.7k↑ 4.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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