AutoGen vs Dify
Side-by-side comparison with live GitHub signals. Last updated May 16, 2026.
| Metric | AutoGen | Dify |
|---|---|---|
| GitHub Stars | 58.1K | 141.5K |
| Contributors | 445 | 461 |
| Last Commit | Apr 15, 2026 | May 16, 2026 |
| Open Issues | 823 | 783 |
| License | open-source | open-source |
| Pricing | open-source | freemium |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
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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 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.
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