#workflow

LangGraph, developed by LangChain, Inc., is a low-level orchestration framework specifically engineered for building, managing, and deploying long-running, stateful multi-agent applications. By representing application logic as cyclical directed graphs (DAGs), it empowers developers with precise control over LLM execution flow, including when to halt, loop, or transfer control to other agents or humans. Key features include durable execution, seamless human-in-the-loop capabilities, comprehensive short-term and long-term memory management, and deep integration with LangSmith for robust debugging and production-ready deployment, making it an ideal choice for complex and reliable AI agent development.

Comprehensive feature development workflow with a structured 7-phase approach. Agents: code-explorer, code-architect, code-reviewer.