CrewAIvsDSPy

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

DSPy

Developer Tools

Programming framework for LLMs — optimize prompts with code, not strings

FeatureCrewAIDSPy
CategoryAI Agent FrameworksDeveloper Tools
PricingFree + EnterpriseFree (open-source)
GitHub Stars
More stars
25k
22k
PlatformsmacOS, Linux, Windows
Key Features
  • Multi-agent collaboration
  • Role-based agents
  • Task delegation
  • Tool integration
  • Memory
  • Process types
    Pros
    • + Intuitive role-based agent design
    • + Built-in collaboration patterns
    • + Good documentation and examples
    • + Active development
    • + Simple Python API
    • + Systematic prompt optimization
    • + Composable and testable LLM programs
    • + Works with any LLM provider
    • + Backed by Stanford NLP
    Cons
    • Less flexible than raw LangChain
    • Relatively young framework
    • Limited built-in tools
    • Can be expensive with many agents
    • Steep learning curve
    • Different paradigm from traditional prompting
    Tags
    open-sourcemulti-agentorchestrationpythonteams

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