What problem does it solve? LangGraph agents lose conversation state between invocations unless persistence is configured correctly. This Skill guides you through checkpointing, thread management, state history, and long-term memory so your graphs remember conversations and survive restarts. ## Core Features & Use Cases - Checkpointer Setup: Configure InMemorySaver for development or PostgresSaver for production, with correct compile-time wiring. - Thread & Time Travel: Isolate conversations with thread_id, browse checkpoint history, replay or fork from past states, and update state manually. - Subgraph Scoping & Store: Choose the right checkpointer mode for subgraphs (False, None, True) and use a Store for cross-thread long-term memory like user preferences. - Use Case: You are building a multi-turn support agent that must remember each user's conversation across sessions and share preferences across threads. Use this Skill to wire PostgresSaver, thread IDs, and an InMemoryStore correctly. ## Quick Start Ask the agent to add Postgres-backed checkpointing and thread-scoped memory to your LangGraph graph so conversations persist across restarts.