LangGraph for complex workflows — surma.dev

LangGraph enables building complex workflow architectures with cyclic patterns that LangChain's DAG-based approach cannot handle. The library supports local LLM orchestration, agent clusters, and multi-step automations through graph-based state management. Key features include structured responses, tool integration, conditional edges for loops, and parallel node execution with reducers for state reconciliation. The tutorial demonstrates building ReAct agents that can perform multi-step reasoning and tool invocation cycles.