As AI agents become increasingly essential to daily workflows, a major limitation on their usefulness is their inability to retain and meaningfully recall information across time. This report explores how the industry is transforming agent memory from a technical constraint into a strategic advantage. You'll learn to combine traditional data management with advanced retrieval tools—such as vector databases, semantic caching, importance scoring, and transactive memory systems—to enable agents to remember what matters.
