MetaGPT

MetaGPT is an open-source multi-agent framework that orchestrates AI agents powered by large language models (LLMs) to simulate a collaborative software development company. It can take a one-line natural language requirement and autonomously generate user stories, competitive analysis, requirements, data structures, APIs, documents, and executable code.

The main features of MetaGPT include Multi-Agent Collaboration, which assigns specialized roles such as Product Manager, Architect, Project Manager, and Engineer to AI agents for collaborative development. It also offers Code Generation, capable of producing code for various applications including games and data analysis. PRD Creation is another feature, producing Product Requirement Documents and other software artifacts. MetaGPT follows a Role-Based Workflow, adhering to structured Standard Operating Procedures for systematic project execution. It features Hybrid AI Model Integration, using multiple AI models to enhance performance, and demonstrates Adaptive Learning, improving from interactions and updates.

MetaGPT primarily requires a one-line natural language requirement or prompt. From this, it can generate a wide array of software development artifacts.

You can expect various outputs from MetaGPT, including user stories, competitive analysis reports, detailed requirements, data structures, API designs, executable code, and documentation.

Yes, MetaGPT supports multiple programming and natural languages. This feature is already available and is continuously being improved.

Yes, MetaGPT handles complex projects by employing a multi-agent system. It assigns distinct roles to AI agents, who collaborate following predefined SOPs to break down and execute the project systematically.

To join the MetaGPT contributor team, you should submit a pull request (PR) to the MetaGPT repository, noting that the current work focus is outlined on the project's roadmap, and reviewers will provide feedback on your PR, allowing you to iterate based on their comments.

To install MetaGPT, first ensure Python 3.9 or later (but less than 3.12) is installed. Then, use conda to create a virtual environment with the command 'conda create -n metagpt python=3.9 && conda activate metagpt'. Next, install MetaGPT using pip with 'pip install metagpt'. Finally, initialize the configuration by running 'metagpt --init-config', which creates a '~/.metagpt/config2.yaml' file that you can modify as needed.

Not currently on the roadmap, but there are plans to implement this feature in the future.

Common error scenarios with MetaGPT include some functions being left unimplemented when code exceeds 500 lines, initialization errors occurring during database usage if SQL DB setup is missing in the code, and hallucinations, such as calling nonexistent APIs, potentially occurring with large codebases.

To configure MetaGPT to use a local proxy for the OpenAI API, set the OPENAI_API_BASE environment variable to your local proxy URL, for example, OPENAI_API_BASE: "https://api.openai.com/v1". You should also disable the proxy if it's not required.

Some use cases for MetaGPT include rapid prototyping of ideas, generating initial codebases, automating documentation, game development, such as the 2048 game, and data analysis.