The composable framework for building LLM-powered applications.
LangChain is the most widely-used framework for building applications powered by large language models. It provides composable abstractions for chains, agents, retrieval (RAG), memory, and tool use — supporting all major LLM providers. LangSmith offers observability and evaluation for production LLM apps. LangGraph enables stateful, graph-based multi-agent architectures. LangChain Hub is a marketplace for sharing prompts and chains. The ecosystem has over 90K GitHub stars.
1 review • 3.0 average
Powerful but overly complex
LangChain has everything you need to build LLM applications but the API has too many abstractions that obscure what's actually happening. I've found it easier to write direct API calls for simple use cases. Where it shines is RAG pipelines and complex agent workflows — the ecosystem of integrations is unmatched.
Orchestrate teams of AI agents to tackle complex, real-world tasks.
The original autonomous AI agent — give it a goal and watch it work.
Microsoft's framework for multi-agent conversation and task solving.