LangGraph is designed to facilitate human-in-the-loop workflows in agent-based systems, emphasizing the importance of human intervention in agent tasks. The framework introduces a new function called "interrupt," which allows for pausing the execution of a task graph, enabling human input and modifications before resuming the process. This persistence feature acts as a collaborative workspace, storing the graph's state and allowing for seamless interruption and resumption even in different environments or after extended periods. The goal is to enhance the agent's functionality with various workflows, such as approval processes, state reviews, and multi-turn conversations, making LangGraph a robust tool for integrating human oversight in automated systems. The framework's updates aim to simplify the development of complex human-in-the-loop interactions and demonstrate its utility in real-world applications.