CrewAI vs MetaGPT
Orchestrate role-playing, autonomous AI agents that collaborate on tasks. — versus — The original "AI software company" multi-agent framework — role-assigned agents (PM, architect, engineer) turn a one-line requirement into PRD, design, and code.
Both bet on role-playing agent teams. CrewAI gives you general-purpose crews you compose; MetaGPT ships one opinionated, SOP-encoded software company end to end.
| CrewAI | MetaGPT | |
|---|---|---|
| Stars | 56k | 69k |
| Forks | 7.8k | 8.8k |
| Language | Python | Python |
| License | MIT | MIT |
| Last activity | 2 days ago | 5 months ago |
| Topics | agents, orchestration | agents, orchestration |
| Curated connections | 9 | 3 |
CrewAI — the curator's take
Orchestrate role-playing, autonomous AI agents that collaborate on tasks.
MetaGPT — the curator's take
MetaGPT is the canonical demonstration that multi-agent choreography works: encode a software company's SOPs as roles and watch one prompt become a PRD, a design doc, and running code. Study it for that — the role/SOP pattern shows up everywhere now. But be honest about 2026: agentic coding tools (Claude Code, Codex) have eaten the "write my app from a prompt" job, and the repo's cadence has slowed noticeably (last push Jan 2026) while the team focuses on its commercial MGX product. For production pipelines you control, reach for LangGraph; for lightweight role crews, CrewAI. Reach for MetaGPT to learn from the most complete SOP-driven design in the wild.