LangChainvsMetaGPT

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

MetaGPT

AI Agent Frameworks

Multi-agent framework that turns ideas into code

FeatureLangChainMetaGPT
CategoryAI Agent FrameworksAI Agent Frameworks
PricingFree + LangSmith paidFree (open-source)
GitHub Stars
More stars
98k
45k
PlatformsmacOS, Linux, WindowsLinux, macOS, Windows
Key Features
  • Chain composition
  • RAG pipelines
  • Agent toolkits
  • Memory systems
  • Streaming
  • Multi-model
  • LangGraph
  • Multi-agent
  • Role-based agents
  • Code generation
  • Project management
  • Documentation
Pros
  • + Massive ecosystem and community
  • + Modular and composable
  • + Supports every major LLM provider
  • + Excellent documentation
  • + LangSmith for monitoring
  • + Unique role-based approach
  • + Generates structured output
  • + Good for prototyping ideas
  • + Active development
  • + Creative agent design
Cons
  • Can be overly complex for simple tasks
  • Frequent breaking changes
  • Abstraction overhead
  • Steep learning curve
  • High token consumption
  • Output quality varies
  • Complex setup
  • Can be slow for large projects
Tags
open-sourceframeworkpythonjavascriptragchains
multi-agentopen-sourcecodingframework

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