LangChainvsSmolagents

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

Smolagents

AI Agent Frameworks

Hugging Face's lightweight library for building agents

FeatureLangChainSmolagents
CategoryAI Agent FrameworksAI Agent Frameworks
PricingFree + LangSmith paidFree (open-source)
GitHub Stars
More stars
98k
15k
PlatformsmacOS, Linux, WindowsLinux, macOS, Windows
Key Features
  • Chain composition
  • RAG pipelines
  • Agent toolkits
  • Memory systems
  • Streaming
  • Multi-model
  • LangGraph
  • Code agents
  • Tool calling
  • Multi-model
  • Lightweight
  • Hub integration
Pros
  • + Massive ecosystem and community
  • + Modular and composable
  • + Supports every major LLM provider
  • + Excellent documentation
  • + LangSmith for monitoring
  • + Lightweight and simple
  • + Code-agent approach
  • + Hugging Face integration
  • + Well-documented
  • + Active development
Cons
  • Can be overly complex for simple tasks
  • Frequent breaking changes
  • Abstraction overhead
  • Steep learning curve
  • Fewer features than LangChain
  • Newer library
  • Limited tool ecosystem
  • Python-centric
Tags
open-sourceframeworkpythonjavascriptragchains
agentshuggingfacelightweightpython

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