Year: 2026
Type: preprint
Abstract: As large language models (LLM)-driven agents transition from isolated task solvers to persistent digital entities, the emergence of the Agentic Web, an ecosystem where heterogeneous agents autonomously interact and co-evolve, marks a pivotal shift toward Artificial General Intelligence (AGI). However, LLM-based multi-agent systems (LaMAS) are hindered by open-world issues such as scaling friction, coordination breakdown, and value dissipation. To address these challenges, we introduce Holos, a web-scale LaMAS architected for long-term ecological persistence. Holos adopts a five-layer architecture, with core modules primarily featuring the Nuwa engine for high-efficiency agent generation and hosting, a market-driven Orchestrator for resilient coordination, and an endogenous value cycle to achieve incentive compatibility. By bridging the gap between micro-level collaboration and macro-scale emergence, Holos hopes to lay the foundation for the next generation of the self-organizing and continuously evolving Agentic Web. We have publicly released Holos (accessible at https://holosai.io), providing a resource for the community and a testbed for future research in large-scale agentic ecosystems.
Source: arXiv (Cornell University)
Authors: Nie, Xiaohang, Guo, Zihan, Cui, Zicai, Yang, Jiachi, Chen, Zeyi, De, Leheyi, Zhang, Yu, Liao, Junwei, Huang, Bo, Yang, Yingxuan, Han, Zhi, Peng, Zimian, Chen, Linyao, Tang, Wenzheng Tom, Liu, Zongkai, Zhou, Tao, Hu, Botao Amber, Tang, Shuyang, Lin, Jianghao, Liu, Weiwen, Wen, Muning, Zhou, Yuanjian, Zhang, Weinan
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7150966194