In this session, Yann introduces a context graph system designed to enhance how autonomous agents reason and make decisions. By structuring information as interconnected context nodes rather than isolated inputs, this approach enables agents to maintain coherence, track dependencies, and act more reliably in complex environments. The talk will explore how context graphs bridge the gap between raw data and actionable intelligence, making agent behavior more predictable, interpretable, and robust.
