Oracle Agent Memory uses a database-native substrate to manage task states and user preferences for long-horizon agents. It moves beyond simple document retrieval by automating the ingestion, consolidation, and revision of durable state. This approach reduces latency in retrieving procedural knowledge. Developers can now treat agent memory as a managed lifecycle rather than a prompt-engineering challenge.