47. Cost and Storage Management in AI Agents

In this session, we explore the final and most practical layer of memory engineering in agentic AI: cost and storage management. This video explains where memory cost really comes from, how storage, retrieval, token usage, refresh cycles, and governance overhead increase over time, and why memory must be designed with lifecycle discipline. We also cover active memory, warm retrievable memory, archived memory, retention policies, and the hidden cost multipliers that make AI agents expensive in production. A clear and practical session for anyone building scalable, efficient, and enterprise-ready AI agent systems.

Видео 47. Cost and Storage Management in AI Agents канала Shriram Vasudevan