A side-by-side of two agent frameworks for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: AutoGen leads AutoGen vs Agno by community traction (★ 61k vs ★ 42k). Pick AutoGen for conversational multi-agent; pick Agno for full-stack agents.
✓ Live data verified
| AutoGen | Agno | |
|---|---|---|
| GitHub stars | ★ 61k | ★ 42k |
| Language | Python | Python |
| Category | Agent frameworks | Agent frameworks |
| Best for | conversational multi-agent | full-stack agents |
| Repository | microsoft/autogen | agno-agi/agno |
AutoGen and Agno are both credible choices. By community traction, AutoGen leads (★ 61k). Pick AutoGen for conversational multi-agent; pick Agno for full-stack agents.
Both are credible agent frameworks. By community traction AutoGen leads (★ 61k). Pick AutoGen for conversational multi-agent; pick Agno for full-stack agents.
AutoGen is Microsoft's framework for multi-agent conversation, with a programming model for agents that talk to each other and tools.. Agno is Batteries-included agent runtime — built-in memory, knowledge/RAG, and AgentOS, a control plane you run in your own cloud. Formerly Phidata..
AutoGen has more — ★ 61k vs ★ 42k (live counts).
Often yes — many teams combine agent frameworks. Check each tool's docs for interop; they solve overlapping but not identical problems.
AutoGen is primarily Python; Agno is primarily Python.
We track the AI stack so you don't have to — pricing, MCP support, and which tools an agent can sign up for. Free.