MetaGPT
Multi-agent framework that simulates a software company — roles including PM, architect, and engineer work together.
Overview
MetaGPT is an open-source multi-agent framework that assigns different software company roles to multiple LLM agents: a Product Manager that analyses requirements, an Architect that designs the system, a Project Manager that breaks work into tasks, Engineers that write code, and a QA Engineer that writes tests. The agents collaborate following standardised operating procedures to produce complete software projects from a one-line natural language requirement.
The project was created by researchers at Hong Kong University of Science and Technology and published as an academic paper in 2023, quickly becoming one of the most-cited AI agent papers. The framework demonstrated that multi-agent systems with role specialisation could produce more coherent, complete software artifacts than single-agent systems.
MetaGPT generates not just code but also a Product Requirements Document, system design diagrams, API specifications, and data models — the full set of software engineering deliverables. For research into multi-agent AI systems and for complex automation requiring coordinated multi-role behaviour, MetaGPT provides a sophisticated open-source framework.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 8 May 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
Use cases
ASEAN Perspective
MetaGPT in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
MetaGPT is a popular open-source multi-agent framework that assigns LLM 'agents' software-team roles (PM, architect, engineer) to turn a one-line requirement into specs, designs, and code. As a research-grade demonstration of role-based agent orchestration it is influential and genuinely interesting to experiment with.
It is a developer framework, not a polished product: setup requires Python and API keys, output quality depends heavily on the underlying LLM and prompt, and generated projects typically need substantial human fixing before they're production-ready. Being free and open-source is a big plus, and it is globally accessible, but expect a tinkerer's experience rather than a turnkey app builder.
Notable facts
- MetaGPT's research paper was cited over 1,000 times within 6 months of publication, making it one of the fastest-cited papers in AI agent research history.
- The framework generates a complete PRD, system design, and implementation from a single natural language requirement — mimicking how a full software team works.
- MetaGPT demonstrated that role assignment (not just tool use) is a key factor in making multi-agent systems more capable than single agents.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including MetaGPT's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with MetaGPT unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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