A side-by-side of two agent frameworks for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: Agno leads Agno vs Google ADK by community traction (★ 42k vs ★ 21k). Pick Agno for full-stack agents; pick Google ADK for multi-agent systems.
✓ Live data verified
| Agno | Google ADK | |
|---|---|---|
| GitHub stars | ★ 42k | ★ 21k |
| Language | Python | Python |
| Category | Agent frameworks | Agent frameworks |
| Best for | full-stack agents | multi-agent systems |
| Repository | agno-agi/agno | google/adk-python |
Agno and Google ADK are both credible choices. By community traction, Agno leads (★ 42k). Pick Agno for full-stack agents; pick Google ADK for multi-agent systems.
Both are credible agent frameworks. By community traction Agno leads (★ 42k). Pick Agno for full-stack agents; pick Google ADK for multi-agent systems.
Agno is Batteries-included agent runtime — built-in memory, knowledge/RAG, and AgentOS, a control plane you run in your own cloud. Formerly Phidata.. Google ADK is Google's Agent Development Kit — a code-first, model-agnostic toolkit for building, evaluating, and deploying multi-agent systems. Optimized for Gemini..
Agno has more — ★ 42k vs ★ 21k (live counts).
Often yes — many teams combine agent frameworks. Check each tool's docs for interop; they solve overlapping but not identical problems.
Agno is primarily Python; Google ADK is primarily Python.
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