Over the past year, agentic applications, such as workflow copilots and codegen assistants, have emerged, transforming how we conceptualize applications by integrating tool use, memory, and reasoning to complete complex tasks. These agents, unlike traditional apps, act independently, remember past interactions, and collaborate, necessitating a new infrastructure beyond existing serverless or microservice architectures. The LangGraph Platform is introduced as a solution, providing the necessary agent infrastructure to support durable execution, complex state management, human-in-the-loop coordination, and handling of bursty concurrency and streaming. This platform enables agents to run for extended periods, manage state efficiently, and handle traffic surges, while also allowing for intermediate output streaming to enhance user and developer experiences. By offering these capabilities, LangGraph Platform aims to simplify the deployment and management of agentic workloads, allowing developers to focus on agent logic without the burden of building the supporting infrastructure.