Get The LangGraph Field Manual

The companion to the video: everything you need to actually build agents with LangChain and LangGraph, verified against the official docs (July 2026). The one idea that changes everything — LangChain composes components into a chain (prompt | model | parser), one direction, great for RAG and pipelines; LangGraph models your app as a graph where an edge can point BACKWARD, giving you the loop that turns a script into a real agent. INSIDE: a working ReAct agent in one StateGraph you can copy-paste (State, Nodes, Edges, and the tools->agent back-edge that IS the loop); the 4 building blocks explained (State with the add_messages reducer, Nodes as functions, normal vs conditional Edges, and the cycle); a real Reflect-and-Retry research agent that drafts, critiques, and loops back up to 3 times, plus checkpointer (survives a crash and resumes) and human-in-the-loop; the when-to-use-which decision card (LangChain for the line, LangGraph for the loop — and why you use both); and the Oct-2025 name-change cheat sheet (LangGraph Studio became LangSmith Studio, LangGraph Platform became LangSmith Deployment; the open-source library is still called LangGraph). LangChain 141,482 stars, LangGraph 36,991 stars, both on v1.0.

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