Always-On Without Burnout: The Memory Architecture Keeping AI Agents Sustainable

Running AI agents continuously in production reveals a critical cost problem: context window bloat leads to performance degradation and spiraling API expenses. The article presents a proven architecture using hard session caps combined with multi-tier memory systems that enables sustainable indefinite deployment. This matters because it transforms AI agents from short-lived task executors into reliable production systems capable of handling complex, multi-week workloads.