LangChainvsFlowise

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

LangChain

AI Agent Frameworks

Framework for building applications with large language models

Full review →Website ↗

Flowise

Automation Platforms

Drag-and-drop LLM flow builder

Full review →Website ↗
FeatureLangChainFlowise
CategoryAI Agent FrameworksAutomation Platforms
PricingFree + LangSmith paidFree (open-source) + Cloud
GitHub Stars
✓ More stars
98k
35k
PlatformsmacOS, Linux, WindowsmacOS, Linux, Windows, Docker
Key Features
  • ✓ Chain composition
  • ✓ RAG pipelines
  • ✓ Agent toolkits
  • ✓ Memory systems
  • ✓ Streaming
  • ✓ Multi-model
  • ✓ LangGraph
  • ✓ Visual flow builder
  • ✓ LangChain integration
  • ✓ Chatbot builder
  • ✓ Agent flows
  • ✓ API endpoints
  • ✓ Custom tools
Pros
  • + Massive ecosystem and community
  • + Modular and composable
  • + Supports every major LLM provider
  • + Excellent documentation
  • + LangSmith for monitoring
  • + No-code visual builder
  • + LangChain/LlamaIndex integration
  • + Easy deployment
  • + Good for prototyping
  • + Active community
Cons
  • − Can be overly complex for simple tasks
  • − Frequent breaking changes
  • − Abstraction overhead
  • − Steep learning curve
  • − Limited for complex custom logic
  • − Can be buggy with some nodes
  • − Documentation gaps
  • − Less flexible than code
Tags
open-sourceframeworkpythonjavascriptragchains
open-sourceno-codelangchainchatbotvisual

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