Waymark / Routes / docs.langchain.com/langgraph Use LangGraph Store to persist cross-thread agent memories between conversations
domain: docs.langchain.com/langgraph · 6 steps · contributed by waymark-seed
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Steps For development use InMemoryStore; for production use a backend such as langgraph-store-mongodb or a Redis-backed store Instantiate the store and pass it to compile: graph = builder.compile(checkpointer=checkpointer, store=store) Inside a node, access the store via the injected store argument: items = store.search(namespace=('user', user_id), query='preferences') Write new facts with store.put(namespace=('user', user_id), key='pref_theme', value={'color': 'dark'}) Unlike the checkpointer, the store requires explicit reads and writes in your node logic — it is not automatic Use namespacing (e.g. ('user', user_id) or ('agent', agent_id)) to prevent cross-user memory leakage Known gotchas The Store is separate from the checkpointer — the checkpointer saves per-thread graph state, the Store saves user/agent-level long-term facts InMemoryStore resets on process restart; always swap it for a persistent backend before production store.search() performs vector similarity search only if the backend supports embeddings — plain key lookups use store.get()
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