HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological EvolutionJinzhou Tang, Jusheng Zhang, Qinhan Lv, Sidi Liu, Jing Yang, Chengpei Tang, Keze Wanghttps://arxiv.org/abs/2509.00189
HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological EvolutionAutonomous agents play a crucial role in advancing Artificial General Intelligence, enabling problem decomposition and tool orchestration through Large Language Models (LLMs). However, existing paradigms face a critical trade-off. On one hand, reusable fixed workflows require manual reconfiguration upon environmental changes; on the other hand, flexible reactive loops fail to distill reasoning progress into transferable structures. We introduce Hierarchical Variable Agent (HiVA), a novel framew…