langgraph-persistence

To persist LangGraph state across multiple conversations, compile your graph using a checkpointer and store, then invoke it with a specific thread_id to save and retrieve the graph state at every super-step.

Thread_id isolation in LangGraph state management separates conversation state per thread, ensuring that multi-turn memories and checkpoints remain distinct and durable across different user sessions.

Checkpointing for multi-turn LangGraph conversations works by saving and loading graph state at every super-step, enabling durable execution, time travel, and long-term context memory across sessions.

Yes, you can use a store in LangGraph to maintain cross-thread memory, which persists user preferences and facts globally across multiple threads and isolated conversations.

Yes, LangGraph persistence supports state management for subgraphs, allowing you to checkpoint nested graph state and maintain durable execution within complex multi-turn workflows.