LangGraph v0.2 introduces a new ecosystem of checkpointer libraries designed to enhance the resilience and functionality of large language model (LLM) applications by simplifying the creation and customization of checkpointers. These libraries support features like session memory, error recovery, human-in-the-loop interactions, and time travel, while being database-agnostic to allow user-defined adapters. The release includes specific libraries for SQLite and Postgres, with the latter offering advanced optimizations for production environments. Accompanying these improvements, LangGraph Cloud provides a scalable runtime environment that manages task queues and servers, supporting real-world interaction patterns and offering a robust Postgres checkpointer. LangGraph Studio, available as a desktop app, facilitates agent visualization and debugging, and LangGraph Cloud is accessible in beta for LangSmith users with Plus or Enterprise plans. The update remains largely backwards compatible but introduces some breaking changes and deprecations, aiming to foster a community-driven ecosystem for building resilient LLM applications.