$ compare langchain langgraph

LangChain vs LangGraph for students

LangChain helps compose LLM app pieces; LangGraph helps control stateful agent workflows.

See the curriculum

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LangChain

LangChain is useful for prompts, retrievers, tools, chains, and reusable LLM application components.

LangGraph

LangGraph is useful when an agent needs state, branching, retries, human-in-the-loop checks, or multi-step control flow.

How AI Season teaches them

AI Season introduces LangChain for app structure and LangGraph for workflow control so students can build agents beyond one prompt-response cycle.