Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web

📰 ArXiv cs.AI

Holos is a web-scale LLM-based multi-agent system for the Agentic Web, addressing open-world issues in large language model-driven agents

advanced Published 6 Apr 2026
Action Steps
  1. Design a scalable architecture for LLM-based multi-agent systems
  2. Develop coordination mechanisms to prevent breakdowns in agent interactions
  3. Implement value alignment methods to mitigate value dissipation
  4. Evaluate the system's performance in real-world scenarios
Who Needs to Know This

AI engineers and researchers benefit from Holos as it enables the development of autonomous digital entities that interact and co-evolve, while product managers and entrepreneurs can leverage Holos to create innovative applications for the Agentic Web

Key Insight

💡 Holos addresses open-world issues in LLM-based multi-agent systems, enabling the emergence of the Agentic Web and paving the way for Artificial General Intelligence (AGI)

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