LangChainvsDSPy

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

DSPy

Developer Tools

Programming framework for LLMs — optimize prompts with code, not strings

FeatureLangChainDSPy
CategoryAI Agent FrameworksDeveloper Tools
PricingFree + LangSmith paidFree (open-source)
GitHub Stars
More stars
98k
22k
PlatformsmacOS, Linux, Windows
Key Features
  • Chain composition
  • RAG pipelines
  • Agent toolkits
  • Memory systems
  • Streaming
  • Multi-model
  • LangGraph
    Pros
    • + Massive ecosystem and community
    • + Modular and composable
    • + Supports every major LLM provider
    • + Excellent documentation
    • + LangSmith for monitoring
    • + Systematic prompt optimization
    • + Composable and testable LLM programs
    • + Works with any LLM provider
    • + Backed by Stanford NLP
    Cons
    • Can be overly complex for simple tasks
    • Frequent breaking changes
    • Abstraction overhead
    • Steep learning curve
    • Steep learning curve
    • Different paradigm from traditional prompting
    Tags
    open-sourceframeworkpythonjavascriptragchains

    Want to compare different tools?

    ← Back to compare picker

    Related Comparisons