LangflowvsLangChain

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

LangChain

AI Agent Frameworks

Framework for building applications with large language models

FeatureLangflowLangChain
CategoryAutomation PlatformsAI Agent Frameworks
PricingFree (open-source) + CloudFree + LangSmith paid
GitHub Stars
35k
More stars
98k
PlatformsLinux, macOS, Windows, Docker, WebmacOS, Linux, Windows
Key Features
  • Visual builder
  • Drag-and-drop
  • Component library
  • API export
  • Multi-model
  • Chain composition
  • RAG pipelines
  • Agent toolkits
  • Memory systems
  • Streaming
  • Multi-model
  • LangGraph
Pros
  • + Intuitive visual builder
  • + LangChain ecosystem integration
  • + Easy prototyping
  • + Export as Python code
  • + Growing component library
  • + Massive ecosystem and community
  • + Modular and composable
  • + Supports every major LLM provider
  • + Excellent documentation
  • + LangSmith for monitoring
Cons
  • Tied to LangChain ecosystem
  • Limited for very custom logic
  • Can be slow for complex flows
  • Still maturing
  • Can be overly complex for simple tasks
  • Frequent breaking changes
  • Abstraction overhead
  • Steep learning curve
Tags
no-codevisuallangchainopen-source
open-sourceframeworkpythonjavascriptragchains

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