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 Google ADK vs Agno by community traction (★ 42k vs ★ 21k). Pick Google ADK for multi-agent systems; pick Agno for full-stack agents.
✓ Live data verified
| Google ADK | Agno | |
|---|---|---|
| GitHub stars | ★ 21k | ★ 42k |
| Language | Python | Python |
| Category | Agent frameworks | Agent frameworks |
| Best for | multi-agent systems | full-stack agents |
| Repository | google/adk-python | agno-agi/agno |
Google ADK and Agno are both credible choices. By community traction, Agno leads (★ 42k). Pick Google ADK for multi-agent systems; pick Agno for full-stack agents.
Both are credible agent frameworks. By community traction Agno leads (★ 42k). Pick Google ADK for multi-agent systems; pick Agno for full-stack agents.
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 is Batteries-included agent runtime — built-in memory, knowledge/RAG, and AgentOS, a control plane you run in your own cloud. Formerly Phidata..
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.
Google ADK is primarily Python; Agno is primarily Python.
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