CrewAIvsPhidata

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

CrewAI

AI Agent Frameworks

Framework for orchestrating role-based AI agent teams

Full review →Website ↗

Phidata

AI Agent Frameworks

Build AI agents with memory, knowledge, and tools

Full review →Website ↗
FeatureCrewAIPhidata
CategoryAI Agent FrameworksAI Agent Frameworks
PricingFree + EnterpriseFree (open-source) + Cloud
GitHub Stars
✓ More stars
25k
15k
PlatformsmacOS, Linux, WindowsLinux, macOS, Windows
Key Features
  • ✓ Multi-agent collaboration
  • ✓ Role-based agents
  • ✓ Task delegation
  • ✓ Tool integration
  • ✓ Memory
  • ✓ Process types
  • ✓ Agent memory
  • ✓ Knowledge base
  • ✓ Tool use
  • ✓ Structured output
  • ✓ Multi-model
Pros
  • + Intuitive role-based agent design
  • + Built-in collaboration patterns
  • + Good documentation and examples
  • + Active development
  • + Simple Python API
  • + Clean, Pythonic API
  • + Built-in memory and knowledge
  • + Production-focused
  • + Good documentation
  • + Multi-model support
Cons
  • − Less flexible than raw LangChain
  • − Relatively young framework
  • − Limited built-in tools
  • − Can be expensive with many agents
  • − Rebranding confusion (Phidata→Agno)
  • − Smaller community than LangChain
  • − Some features require cloud
  • − Less flexible for custom setups
Tags
open-sourcemulti-agentorchestrationpythonteams
agentsmemoryknowledgepython

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