LangGraph Workflows

Summary

LangGraph is a framework for building stateful, multi-agent applications with LLMs. It implements state machines and directed graphs for orchestration, enabling complex workflows with persistent state management, human-in-the-loop support, and time-travel debugging.

Key Innovation: Transforms agent coordination from sequential chains into cyclic graphs with persistent state, conditional branching, and production-grade debugging capabilities.

When to Use

✅ Use LangGraph When:

• Multi-agent coordination required
• Complex state management needs
• Human-in-the-loop workflows (approval gates, reviews)
• Need debugging/observability (time-travel, replay)
• Conditional branching based on outputs
• Building production agent systems
• State persistence across sessions