A side-by-side of two agent frameworks for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: CrewAI leads CrewAI vs Agno by community traction (★ 59k vs ★ 42k). Pick CrewAI for role-based multi-agent teams; pick Agno for full-stack agents.
✓ Live data verified
| CrewAI | Agno | |
|---|---|---|
| GitHub stars | ★ 59k | ★ 42k |
| Language | Python | Python |
| Category | Agent frameworks | Agent frameworks |
| Best for | role-based multi-agent teams | full-stack agents |
| Repository | crewAIInc/crewAI | agno-agi/agno |
CrewAI and Agno are both credible choices. By community traction, CrewAI leads (★ 59k). Pick CrewAI for role-based multi-agent teams; pick Agno for full-stack agents.
Both are credible agent frameworks. By community traction CrewAI leads (★ 59k). Pick CrewAI for role-based multi-agent teams; pick Agno for full-stack agents.
CrewAI is Role-playing autonomous agents that collaborate as a 'crew' with defined roles, goals, and task delegation.. Agno is Batteries-included agent runtime — built-in memory, knowledge/RAG, and AgentOS, a control plane you run in your own cloud. Formerly Phidata..
CrewAI has more — ★ 59k 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.
CrewAI is primarily Python; Agno is primarily Python.
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