LangGraph
Build stateful, multi-step AI workflows with LangGraph. Graph-based agent orchestration, human-in-the-loop, persistence, and streaming.
FundamentalsTopics 1–9
- ·What Is LangGraph?
- ·Nodes and Edges
- ·State Schema
- ·Building a StateGraph
- ·Entry Points and END
- ·Conditional Edges
- ·Compiling a Graph
- ·Streaming Graph Output
- ·Checkpointing Basics
Start Fundamentals →
IntermediateTopics 10–18
- ·Human-in-the-Loop
- ·Interrupt and Resume
- ·Parallel Nodes
- ·Subgraphs
- ·Tool Calling Agents
- ·Dynamic Graph Construction
- ·Multi-Agent Handoffs
- ·Persistence Backends
- ·MessageGraph
Start Intermediate →
AdvancedTopics 19–27
- ·ReAct Agent from Scratch
- ·Plan-and-Execute Agents
- ·Multi-Agent Collaboration
- ·Supervisor Pattern
- ·Hierarchical Agent Networks
- ·Long-Term Memory
- ·Time Travel & State Replay
- ·Map-Reduce Patterns
- ·Custom State Reducers
Start Advanced →
ProductionTopics 28–35
- ·LangGraph Platform
- ·Testing Graphs
- ·Error Handling & Resilience
- ·Monitoring & Observability
- ·Scaling Multi-Agent Systems
- ·Cost-Aware Routing
- ·Deployment Patterns
- ·Production Best Practices
Start Production →