AutoGen vs Relevance AI
Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.
Relevance AI
No-code platform for building and deploying multi-agent AI workflows
| Metric | AutoGen | Relevance AI |
|---|---|---|
| GitHub Stars | 56.5K | — |
| Contributors | 444 | — |
| Last Commit | Mar 29, 2026 | — |
| Open Issues | 722 | — |
| License | open-source | commercial |
| 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 Relevance AI
Relevance AI is a no-code platform for building multi-agent AI workflows. It provides a visual builder for creating agent teams with custom tools, knowledge bases, and integrations. Agents can be deployed as APIs, embedded in applications, or shared as standalone tools. Focuses on business teams building AI-powered internal tools.
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