Multi-agent AI systems often fail due to inadequate memory management, leading to issues like work duplication and inconsistent states among agents. Effective memory engineering, which encompasses shared memory infrastructure, is essential for enhancing coordination and performance across multiple agents, enabling them to tackle complex tasks more efficiently.