LangflowvsCrewAI

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

Langflow

Automation Platforms

Visual framework for building multi-agent AI apps

CrewAI

AI Agent Frameworks

Framework for orchestrating role-based AI agent teams

FeatureLangflowCrewAI
CategoryAutomation PlatformsAI Agent Frameworks
PricingFree (open-source) + CloudFree + Enterprise
GitHub Stars
More stars
35k
25k
PlatformsLinux, macOS, Windows, Docker, WebmacOS, Linux, Windows
Key Features
  • Visual builder
  • Drag-and-drop
  • Component library
  • API export
  • Multi-model
  • Multi-agent collaboration
  • Role-based agents
  • Task delegation
  • Tool integration
  • Memory
  • Process types
Pros
  • + Intuitive visual builder
  • + LangChain ecosystem integration
  • + Easy prototyping
  • + Export as Python code
  • + Growing component library
  • + Intuitive role-based agent design
  • + Built-in collaboration patterns
  • + Good documentation and examples
  • + Active development
  • + Simple Python API
Cons
  • Tied to LangChain ecosystem
  • Limited for very custom logic
  • Can be slow for complex flows
  • Still maturing
  • Less flexible than raw LangChain
  • Relatively young framework
  • Limited built-in tools
  • Can be expensive with many agents
Tags
no-codevisuallangchainopen-source
open-sourcemulti-agentorchestrationpythonteams

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