langgraph-memory-persistence

What problem does it solve?

LangGraph memory persistence solves the challenge of preserving conversation history and user context across restarts and subgraphs by providing short-term per-thread checkpointers and long-term cross-thread stores.

Core Features & Use Cases

• Short-term memory with per-thread checkpointers (InMemorySaver, SqliteSaver, etc.) to track dialogue history.
• Long-term memory stores for user profiles and preferences, enabling cross-session personalization.
• Robust serialization, optional encryption, and multi-store integration for production safety.

Quick Start

Run a LangGraph graph with a configured checkpointer (and optional store) to persist and resume state across sessions.