Agno vs AutoGen
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Agno suits teams needing open-source access, agents focus, and 41,830 GitHub stars in current listing data. AutoGen suits teams needing open-source access, multi agent focus, and 60,568 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 | Agno | AutoGen |
|---|---|---|
| GitHub Stars | 41.8K | 60.6K |
| Contributors | 444 | 444 |
| Last Commit | Aug 22, 2026 | Apr 15, 2026 |
| Open Issues | 1276 | 997 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose Agno if you need
- • Agno is the stronger pick when Agents matters because that capability is listed only on its profile.
- • Agno is the cleaner fit if you specifically need Agent Framework workflows from the catalog tags.
Choose AutoGen if you need
- • AutoGen is the stronger pick when Multi Agent matters because that capability is listed only on its profile.
- • AutoGen shows broader GitHub adoption with 60,568 stars versus 41,830 for Agno.
- • AutoGen is the cleaner fit if you specifically need Microsoft workflows from the catalog tags.
Meaningful differences
- • GitHub adoption: Agno shows 41,830 stars versus 60,568 for AutoGen.
Shared capabilities
- • Python
- • Multi Agent
- • Human In The Loop
Shared Tags
Only in Agno
Only in AutoGen
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 Agno
Agno is a full-stack platform for agentic software comprising three layers: a Python framework for building agents and teams with memory, knowledge, and 100+ tool integrations; a production-ready FastAPI runtime with 50+ APIs, horizontal scaling, native tracing, and human-in-the-loop approval workflows; and AgentOS, a control plane UI for monitoring and managing deployed agents. Supports per-user and per-session isolation, role-based access control, guardrails, evaluations, and immutable audit trails. All data stays in your database — no vendor lock-in.
View full listingAbout 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 listing