MetaGPTvsLangflow

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

MetaGPT

AI Agent Frameworks

Multi-agent framework that turns ideas into code

Langflow

Automation Platforms

Visual framework for building multi-agent AI apps

FeatureMetaGPTLangflow
CategoryAI Agent FrameworksAutomation Platforms
PricingFree (open-source)Free (open-source) + Cloud
GitHub Stars
More stars
45k
35k
PlatformsLinux, macOS, WindowsLinux, macOS, Windows, Docker, Web
Key Features
  • Multi-agent
  • Role-based agents
  • Code generation
  • Project management
  • Documentation
  • Visual builder
  • Drag-and-drop
  • Component library
  • API export
  • Multi-model
Pros
  • + Unique role-based approach
  • + Generates structured output
  • + Good for prototyping ideas
  • + Active development
  • + Creative agent design
  • + Intuitive visual builder
  • + LangChain ecosystem integration
  • + Easy prototyping
  • + Export as Python code
  • + Growing component library
Cons
  • High token consumption
  • Output quality varies
  • Complex setup
  • Can be slow for large projects
  • Tied to LangChain ecosystem
  • Limited for very custom logic
  • Can be slow for complex flows
  • Still maturing
Tags
multi-agentopen-sourcecodingframework
no-codevisuallangchainopen-source

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