Developer tools
LangChain
Open-source frameworks and a platform for building, evaluating, deploying, and observing AI agents.

Key features
- Open-source agent frameworks with provider integrations
- Tracing, evaluation, deployment, and monitoring through LangSmith
Pros and tradeoffs
Strengths
- Broad ecosystem spanning development and production operations
Consider before choosing
- The number of abstractions and products can increase learning overhead
What people use LangChain for
- Build and operate agents that call models, tools, and external data sources
Frequently asked questions
What is the difference between LangChain and LangSmith?
LangChain includes open-source building frameworks, while LangSmith focuses on tracing, evaluation, deployment, and monitoring.