EP187: Hive fixes multi-agent AI memory bottlenecks

Title: Hive: A Multi-Agent Infrastructure for Algorithm- and Task-Level ScalingSource: http://arxiv.org/abs/2604.17353v1Summary:Hive provides a foundational infrastructure for scaling agentic systems at the algorithm and task levels, introducing key mechanisms like Logits Cache and Agent-Aware Scheduling to optimize multi-agent resource allocation. It represents a significant breakthrough in efficiency for complex agent workflows, enabling the systematic scaling of inference-time computation and task decomposition.