LangGraph

Build AI workflows that can loop, remember state, and wait for human approval — things a simple chatbot can't do. LangGraph lets you define multi-step agent processes as graphs, so complex tasks like 'research, then write, then review' run reliably.

1. pip install langgraph langchain-anthropic 2. from langgraph.graph import StateGraph, END 3. Define state schema (TypedDict) and node functions 4. builder = StateGraph(State); builder.add_node("agent", my_function) 5. builder.add_edge(START, "agent"); graph = builder.compile() 6. result = graph.invoke({"messages": [HumanMessage(content="hello")]})