SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs
Researchers introduce SAGE, a memory management system for agentic LLMs that uses novelty detection to efficiently control when new facts are added, merged, or ignored. The approach reduces API costs and latency by 3.4× and 2.5× respectively while maintaining quality, addressing a critical gap in write-side memory control for long-context AI agents.