Devnexus 2026 The Anatomy of Memory in Humans and AI Agents Raphael De Lio

This talk, titled The Anatomy of Memory in Humans and AI Agents, examines how memory serves as a fundamental capability in both human cognition and modern AI systems. The session explores essential concepts such as short-term and long-term memory, context retention, and retrieval, addressing their implications for AI agent design. The speaker discusses how effective memory systems enable agents to maintain continuity in interactions, enhance decision-making, and deliver consistent, context-aware responses. Practical approaches for implementing memory in AI applications are also covered, including structuring memory layers, efficiently managing context, and balancing performance with accuracy. By highlighting the similarities between human and machine memory, this session offers valuable insights for developing more intelligent and reliable AI systems in real-world applications.