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LangGraph for Stateful Agents
Why LangGraph beats linear chains for real agents; nodes, edges, and state; conditional routing; persistence and checkpointing for resumable agents; human-in-the-loop interrupts and approvals.
Module Content
Why LangGraph Exists — The Limits of Linear Chains
LCEL handles linear chains beautifully. LangGraph handles everything LCEL can't — state, loops, branches that depend on dynamic conditions. FIND_VIDEO: search 'why LangGraph agent state machine' — recommended channel: LangChain / Harrison Chase / Sam Witteveen. Aim for 10 min or under.
Recap — Graphs Beat Chains for Real Agents
Why state-machine framing solves problems linear chains hit walls on.
Nodes, Edges, and State in LangGraph
The core primitives. Once you understand state graphs, every LangGraph example becomes readable. FIND_VIDEO: search 'LangGraph state graph nodes edges tutorial' — recommended channel: LangChain / Harrison Chase. Aim for 11 min or under.
Recap — Building Your First Graph
From `StateGraph()` to `graph.invoke()`. The minimum-viable LangGraph agent in 30 lines.
Conditional Edges and Routing
The dynamic routing that turns a flowchart into an agent. Patterns you'll use in every graph. FIND_VIDEO: search 'LangGraph conditional edges routing tutorial' — recommended channel: LangChain / Sam Witteveen. Aim for 10 min or under.
Recap — Branching and Decision Patterns
Five conditional-edge patterns cover most agent routing. Master them and you can wire any decision logic.
Persistence and Checkpointing
What separates a toy agent from a production one: state that survives restarts, threads that resume, conversations that persist. FIND_VIDEO: search 'LangGraph checkpointing persistence tutorial' — recommended channel: LangChain / Harrison Chase. Aim for 11 min or under.
Recap — Making Agents Resumable and Stateful
Checkpointers are the substrate for everything serious. Pick the right one for your scale and you get persistence, resumption, and HITL for free.
Human-in-the-Loop and Interrupts
Pause the agent. Get human approval. Resume. The pattern that makes high-stakes agents shippable. FIND_VIDEO: search 'LangGraph human in the loop interrupt approval' — recommended channel: LangChain / Sam Witteveen. Aim for 10 min or under.
Recap — Adding Human Oversight to Agents
Three HITL patterns: interrupt-before, dynamic interrupts, and feedback loops. Together they let agents safely take high-stakes actions.