Building LangGraph: Designing an Agent Runtime from first principles

LangGraph is a framework designed from the ground up to build production-ready AI agents, prioritizing control, durability, and scalability. It directly tackles the unique challenges of agents, such as high latency and the need for reliable retries of long-running, expensive tasks. Key features like parallelization, streaming, checkpointing, and human-in-the-loop capabilities were built-in to manage these complexities. The framework was intentionally designed with minimal abstraction to feel like writing regular code, ensuring it remains relevant as AI technology evolves.