Designing AI Agent Memory: Evolving from Context Stitching to a Self‑Optimizing Cognitive System (Part 2)
The article details a five‑stage framework that upgrades an AI agent's memory from simple token trimming to a dynamic, self‑learning cognitive system, covering vector retrieval, memory lifecycle management, user profiling, explicit/implicit feedback loops, and long‑term governance.
