Implements stateful agent graphs and multi-actor workflows using the LangGraph framework.
This skill empowers developers to architect, build, and maintain complex AI agent systems using LangGraph's graph-based architecture. It provides specialized guidance on defining shared state schemas, implementing persistent checkpointing for long-running tasks, handling human-in-the-loop interruptions, and managing multi-agent fanning or merging patterns. Whether you are building simple chat agents or intricate hierarchical multi-actor systems, this skill ensures best practices for state management and execution flow are followed within the Claude Code environment.
주요 기능
01Real-time streaming of node updates and state values
02Human-in-the-loop workflows using the interrupt/resume pattern
03Stateful graph construction with StateGraph and typed schemas
04Persistence management through Sqlite and Postgres checkpointers
05Advanced routing via conditional edges and the Command pattern
0614 GitHub stars
사용 사례
01Implementing long-running workflows that require manual human approval
02Developing complex RAG pipelines with iterative refinement steps
03Building multi-agent research assistants with coordinated shared state
