AutoGen vs MetaGPT
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
AutoGen suits teams needing open-source access, conversation focus, and 60,568 GitHub stars in current listing data. MetaGPT suits teams needing open-source access, role based focus, and 69,942 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | AutoGen | MetaGPT |
|---|---|---|
| GitHub Stars | 60.6K | 69.9K |
| Contributors | 444 | 116 |
| Last Commit | Apr 15, 2026 | Jan 21, 2026 |
| Open Issues | 997 | 131 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose AutoGen if you need
- • AutoGen is the stronger pick when Conversation matters because that capability is listed only on its profile.
- • AutoGen has a larger visible contributor base (444 vs 116).
- • AutoGen is the cleaner fit if you specifically need Microsoft workflows from the catalog tags.
Choose MetaGPT if you need
- • MetaGPT is the stronger pick when Role Based matters because that capability is listed only on its profile.
- • MetaGPT shows broader GitHub adoption with 69,942 stars versus 60,568 for AutoGen.
- • MetaGPT is the cleaner fit if you specifically need Software Engineering workflows from the catalog tags.
Meaningful differences
- • GitHub adoption: AutoGen shows 60,568 stars versus 69,942 for MetaGPT.
- • Contributor count: AutoGen lists 444 contributors and MetaGPT lists 116.
Shared capabilities
- • Multi Agent
- • Python
Shared Tags
Only in AutoGen
Only in MetaGPT
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
About AutoGen
AutoGen is Microsoft's open-source framework for building multi-agent conversational systems where agents can converse with each other and with humans to solve complex tasks. Agents are highly customizable and can use LLMs, tools, and human input in flexible combinations. The framework supports group chats, nested conversations, and code execution sandboxes, making it well-suited for coding assistants, research automation, and enterprise agentic workflows. AutoGen Studio provides a no-code UI for prototyping agent systems visually.
View full listingAbout MetaGPT
MetaGPT assigns different roles to agents (product manager, architect, engineer, QA) to form a collaborative software team. Given a one-line requirement, it outputs user stories, competitive analysis, requirements, data structures, APIs, and complete code. Pioneered the multi-agent collaboration pattern for software development.
View full listing