MetaGPT assigns different roles (product managers, architects, project managers, engineers) to GPTs to collaborate on complex tasks. It takes a one-line requirement as input and outputs user stories, competitive analysis, requirements, data structures, APIs, and documents.
Assigning different roles to GPTs to form a collaborative entity for complex tasks, providing the entire process of a software company along with carefully orchestrated SOPs; it takes a one-line requirement and outputs user stories, competitive analysis, requirements, data structures, APIs, and documents, and can be used to generate code repositories and run data analysis.
MetaGPT is explicitly a multi-agent agentic framework that orchestrates LLM-based roles (PM, architect, engineer) through an SOP-driven workflow, producing code, documents, and APIs from a single requirement. Although the entrypoint heuristics flagged no signals, the code-derived surface analysis shows the framework executes arbitrary code and shell commands, writes to the filesystem, and runs a multi-step autonomous agent loop without per-step confirmation. The README describes an "AI agent development team" automating agentic workflows (AFlow), consistent with Tier 4 autonomous multi-step action. It does not modify its own code/prompts in an unsupervised self-improving manner per the evidence, so it stays at Tier 4 rather than 5.