Oracle Agent Memory: Database-Native Memory Substrate for Long-Horizon AI Agents

Jul 16, 2026

A new preprint from Oracle introduces Agent Memory, a database-native memory substrate designed for long-horizon AI agents and built on Oracle Database. The system organizes memory as a lifecycle—including ingestion, extraction, consolidation, retrieval, summarization, and revision—and separates active memory from passive storage with explicit scope control. In evaluations, Agent Memory achieved 93.8% accuracy on LongMemEval while using about 10.7 times fewer tokens than flat-history baselines.

Why it matters: This work proposes a scalable, database-integrated memory layer that could improve efficiency and accuracy for AI agents operating over extended timeframes.

Full story at: arXiv AI/ML ↗