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.
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About
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.
It is aimed primarily at developers and researchers building agentic systems, especially for software generation and related workflows. You can install it with pip, run it from the CLI, or use it as a Python library. The project also documents configuration through ~/.metagpt/config2.yaml and supports multiple LLM backends including OpenAI, Azure, Ollama, and Groq.
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 from a prompt and includes examples like a data interpreter, researcher, and debate workflow, but it is not positioned as a general consumer assistant.
Because it depends on external model providers or locally configured models, setup is not completely plug-and-play. The README does not provide public pricing details, and privacy or enterprise governance details are not clearly described in the crawled content. If you want a turnkey SaaS agent or a non-technical tool, this is probably not the right fit.
Executes tasks you assign, one step at a time, within narrow domains.
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- Open source: MIT-licensed project
- Pricing: Not publicly available for any hosted or paid offering mentioned in the crawled content
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