Dify vs smolagents
Side-by-side comparison with live GitHub signals. Last updated May 16, 2026.
| Metric | Dify | smolagents |
|---|---|---|
| GitHub Stars | 141.5K | 27.3K |
| Contributors | 461 | 200 |
| Last Commit | May 16, 2026 | May 14, 2026 |
| Open Issues | 783 | 535 |
| License | open-source | open-source |
| Pricing | freemium | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
Only in Dify
Only in smolagents
About Dify
Dify is an open-source LLM app development platform that combines agentic AI workflow, RAG pipeline, agent capabilities, model management, and observability features. It lets you go from prototype to production quickly with a visual canvas for building complex AI workflows. Supports 100+ model providers and can be self-hosted or used via cloud.
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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