PhidatavsCrewAI

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

Phidata

AI Agent Frameworks

Build AI agents with memory, knowledge, and tools

CrewAI

AI Agent Frameworks

Framework for orchestrating role-based AI agent teams

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

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