Your AI Agent Forgets Everything. So We Taught It to Remember — With a Graph.

Introducing @neo4j-labs/nams-ai-provider — one package that gives any Vercel AI SDK model persistent, cross-session memory backed by a Neo4j knowledge graph. Three integration modes, one API key, and a guarantee no other memory provider ships. Every production chat agent has the same embarrassing flaw. A user spends twenty minutes explaining their stack, their preferences, the decision they finally made about their deployment pipeline — and the moment the session ends, all of it evaporates. Tomorrow, the agent greets them like a stranger. The model isn’t the problem. Context windows are bigger than ever. The problem is architectural: there is no durable place for what the agent learns to live, and no mechanism that brings it back at the right moment. Those are two separate jobs, and the second one is the hard one. Writing things down is easy. Deciding, on turn 400, which three of nine thousand stored sentences belong in this prompt is the entire discipline. @neo4j-labs/nams-ai-provider does both jobs, for any model, behind one changed line of code. It’s a community provider for the Vercel AI SDK backed by the hosted Neo4j Agent Memory Service (NAMS) — no Neo4j cluster to run, no vector store to pick, no…