Explore advanced memory management strategies for AI agents in this 56-minute conversation with Richmond Alake, who brings unique insights from his database background to agent architecture design. Learn how memory placement decisions impact agent performance and discover the hierarchical framework that sits above traditional prompt engineering and context engineering approaches. Understand why most agent builders optimize at the wrong architectural level and examine practical principles for determining where memory should reside in AI systems. Gain insights into prompt compression, query optimization techniques, and rigorous approaches to data flow management in agent-based applications. Access accompanying resources including a comprehensive memory and context engineering notebook with practical implementations and examples.