MetaGPT vs smolagents
Side-by-side comparison with live GitHub signals. Last updated May 16, 2026.
| Metric | MetaGPT | smolagents |
|---|---|---|
| GitHub Stars | 68.0K | 27.3K |
| Contributors | 116 | 200 |
| Last Commit | Jan 21, 2026 | May 14, 2026 |
| Open Issues | 127 | 535 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
Only in MetaGPT
Only in smolagents
About 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 listingAbout smolagents
smolagents is Hugging Face's minimalist agent framework that prioritizes simplicity and transparency over abstraction. At its core are CodeAgent, which writes and executes Python code as actions rather than relying on JSON tool calls, and ToolCallingAgent for traditional function-calling workflows. The framework is model-agnostic and integrates natively with the Hugging Face Hub, Transformers, and Inference API. Its small surface area makes it easy to audit, extend, and debug — ideal for researchers and practitioners who want full visibility into agent behavior without fighting a complex framework.
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