Chat persistence saves one transcript per chat. Here's how to add per-user memory that carries across chats with one wrapLanguageModel call, plus helpers and five memory tools.
Why a LangGraph agent forgets between threads, how checkpointers and stores differ, and how to add per-user, cross-thread memory with MemorySync's LangGraph integration.
Keep a LangChain chatbot's transcript across restarts and give it long-term memory of the user, using RunnableWithMessageHistory and the langchain-memorysync package.
A small, runnable pattern: your agent remembers each user across sessions, keeps users apart, and deletes on request
