Agno vs CrewAI

Side-by-side comparison of Agno and CrewAI: pricing, features, API access, and community ratings.

AI comparison summary

TL;DR: Both are open-source multi-agent frameworks, but Agno emphasizes developer velocity with its unified API for 30+ LLM providers and BYOC architecture for maximum data privacy, while CrewAI focuses on enterprise adoption with its dual no-code/code interface, proven Fortune 500 traction, and automated agent improvement through continuous training. Choose Agno if you need rapid prototyping with strict data sovereignty requirements, or CrewAI if you want enterprise-ready features with options for non-technical team members and automated optimization workflows.

Agno
Agno

Open-source agent framework and high-performance runtime for building multi-agent systems at scale

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CrewAI
CrewAI

The open platform that accelerates enterprise agent adoption at scale

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Category
Agent frameworks
Agent frameworks
Pricing
Freemium
Freemium
Starting price
Free tier
Audience
Technical
All audiences
API available
Open source
Self-hostable
Model provider
Multi-provider (30+ model providers)
Multi-LLM (model-agnostic)
Founded
2023
Headquarters
United States
Key strengths
  • ·Open-source Python framework for rapid agent development
  • ·AgentOS runtime with 50+ API endpoints out of the box
  • ·Supports 30+ LLM providers behind a single unified API surface
  • ·BYOC (Bring Your Own Cloud) with full data privacy — no data leaves your environment
  • ·Used by 63% of the Fortune 500
  • ·Supports no-code visual editor and code-first Python API
  • ·Role-based multi-agent orchestration with deterministic workflows
  • ·Full observability with real-time LLM/tool call tracing and cost accounting