Open-Source AI · AI agent framework

CrewAI vs Agno

CrewAI vs Agno compared for 2026 — features, license, ease of use, performance and which one to choose. Orchestrate role-playing agent crews vs Fast, lightweight multi-modal agents.

Updated regularly · curated by olud.ai

Choose CrewAI for developers building collaborative agent teams. Choose Agno for fast agents with memory and tools.

CrewAI vs Agno at a glance

SpecCrewAIAgno
CategoryAI agent frameworkAI agent framework
TypeMulti-agent frameworkAgent framework
LicenseMITMPL-2.0
Runs locallyCloud-optionalCloud-optional
Primary languagePythonPython
Ease of useIntermediateIntermediate
Best fordevelopers building collaborative agent teamsfast agents with memory and tools
GitHub stars55.9k41.3k

How CrewAI and Agno score

🏆 Overall edge: CrewAI — 4.3 vs 3.9 / 5
CriterionCrewAIAgno
Popularity4.54.0
Maintenance5.05.0
Ease of use3.53.5
Privacy3.53.5
License freedom5.03.5

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

CrewAI

Multi-agent framework · MIT

CrewAI is a framework for orchestrating role-playing autonomous agents that collaborate as a crew to complete complex tasks, independent of LangChain.

  • Intuitive role-based agent crews
  • Standalone, no LangChain dependency
  • Fast-growing community and templates
See the CrewAI page →

Agno

Agent framework · MPL-2.0

Agno (formerly Phidata) is a lightweight, high-performance framework for building multi-modal agents with memory, knowledge and tools, plus a monitoring UI.

  • Very fast agent instantiation
  • Built-in memory, knowledge and tools
  • Multi-modal and model-agnostic
See the Agno page →

Key differences

CrewAI is multi-agent framework, while Agno is agent framework. Their licenses differ (MIT vs MPL-2.0), which matters if you ship a commercial product. In short, CrewAI fits developers building collaborative agent teams, and Agno fits fast agents with memory and tools.

Which should you choose?

Choose CrewAI for developers building collaborative agent teams. Choose Agno for fast agents with memory and tools.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is CrewAI or Agno easier to use?

Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.

Are CrewAI and Agno free?

CrewAI is free and open source (MIT), and Agno is free and open source (MPL-2.0). Neither charges for the core software.

Can I run CrewAI and Agno locally?

CrewAI: cloud-optional · Agno: cloud-optional. Both can be used without sending your data to a third-party cloud where their setup allows.

CrewAI vs Agno — which should I pick in 2026?

Choose CrewAI for developers building collaborative agent teams. Choose Agno for fast agents with memory and tools.

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