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

Neo4j Labs has introduced the experimental `@neo4j-labs/nams-ai-provider`, a community provider for the Vercel AI SDK that gives AI agents persistent, cross-session memory through the hosted Neo4j Agent Memory Service. The package automatically retrieves relevant memories before a model call and stores new information afterward, using a graph-based model of entities, preferences, decisions, histories, and confidence rather than only vector-searchable chat text. It supports provider, middleware, and tool-based integrations, allowing developers to choose invisible automatic memory, visible model-controlled memory, or a hybrid approach, while hooks can enforce that memory is queried and conversation turns are persisted. Retrieval searches several memory sources in parallel, limits prompt injection to avoid overwhelming user requests, and includes fallback searches for semantically mismatched wording. Optional extraction converts stored content into typed entities that can be queried, corrected, merged, and traced across conversations, though hosted API support for graph relationship edges is not yet available. Designed to run through HTTPS without requiring a Neo4j deployment or vector database setup, the package aims to fail safely when memory services are unavailable, but it remains actively maintained experimental software with no service-level or backward-compatibility guarantees.

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