$ compare langchain langgraph
LangChain vs LangGraph for students
LangChain helps compose LLM app pieces; LangGraph helps control stateful agent workflows.
See the curriculum
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.