LangGraph is currently the leading framework for building production AI agents — representing agent logic as a stateful graph of nodes and edges.

Why LangGraph Over Older Approaches

• Explicit state management — you control exactly what the agent knows
• Conditional edges — complex branching logic without spaghetti code
• Built-in human-in-the-loop support
• Persistence — pause and resume agent runs
• Streaming — see agent thoughts and actions in real time

Basic Structure

from langgraph.prebuilt import create_react_agent

agent = create_react_agent(
    model=llm,
    tools=[search, calculator, send_email],
    checkpointer=memory  # optional persistence
)

result = agent.invoke({"messages": [{"role": "user", "content": "Research and summarize AI news today"}]})

Reference:

LangGraph documentation

https://langchain-ai.github.io/langgraph/