mlsanityData to 7 Oct 2026

AONA: A Comprehensive Architecture and Workflow Design for Global Agentic Collaboration

arXiv 2606.20573 ↗First posted 30 Apr 2026cs.NI cs.MAcited by 0

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

The rapid advancement of Large Language Models (LLMs) has established autonomous agents as the core vehicles for artificial intelligence applications. However, existing Internet infrastructures, primarily relying on TCP/IP and DNS, are designed for human-centric, host-to-host data transmission, inherently lacking the semantic awareness, dynamic capability discovery, and decentralized trust mechanisms required for autonomous agent interactions. To address these limitations and break the closed ecosystems of single vendors, this paper proposes AONA (Agentic Overlay Network Architecture), a novel overlay network architecture for the Internet of Agents (IoA). We first provide a multi-disciplinary scientific defense for multi-agent collaboration, demonstrating its theoretical necessity over single super-intelligence through the lenses of organizational economics, scaling principles, and the Price of Anarchy. AONA is then structured as a four-layer logical blueprint comprising the Base, Interconnection, Collaboration, and Application layers, which facilitates cross-protocol and cross-platform interoperability without disrupting the underlying physical network. To physically instantiate this blueprint, we design a distributed node infrastructure anchored by Management Root Nodes, Registry Service Nodes, Discovery Service Nodes, and Enterprise Intelligent Service Hubs for private domain integration. Finally, we detail the dynamic operational workflows-including zero-trust identity issuance, globally coordinated semantic taxonomy synchronization, intent-driven semantic discovery, and trusted metering for commercial settlement-that drive the network. This comprehensive architecture provides a robust, scalable, and secure foundation for the future of global agentic collaboration.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 20 of its 31 references that are in the map. First posted on arXiv 30 Apr 2026.

Builds on

20 of 31 references.

Closest ancestors · 6

Same direction, newest first

  1. 2026DarwinNet: An Evolutionary Network Architecture for Agent-Driven Protocol Synthesis27 Mar
  2. 2025Towards a Science of Scaling Agent Systems9 Dec
  3. 2025A Layered Protocol Architecture for the Internet of Agents24 Nov
  4. 2025AgentDNS: A Root Domain Naming System for LLM Agents28 May
  5. 2025Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems25 May
  6. 2025A Survey of AI Agent Protocols23 Apr

Other references · 14

  1. 2025Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation Strategiescited by 42
  2. 2025A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Controlcited by 26
  3. 2025Agent Network Protocol Technical White Papercited by 24
  4. 2025Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperabilitycited by 22
  5. 2025Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index and Verified AgentFactscited by 20
  6. 2025LOKA Protocol: A Decentralized Framework for Trustworthy and Ethical AI Agent Ecosystemscited by 15
  7. 2025Coral Protocol: Open Infrastructure Connecting The Internet of Agentscited by 9
  8. 2025Upgrade or Switch: Do We Need a Next-Gen Trusted Architecture for the Internet of AI Agents?cited by 8
  9. 2025ACPs: Agent Collaboration Protocols for the Internet of Agentscited by 6
  10. 2025Binding Agent ID: Unleashing the Power of AI Agents with accountability and credibilitycited by 5
  11. 2025Using the NANDA Index Architecture in Practice: An Enterprise Perspectivecited by 3
  12. 2025NetMCP: Network-Aware Model Context Protocol Platform for LLM Capability Extensioncited by 2
2 more
  1. 2025SoDA: An Efficient Interaction Paradigm for the Agentic Webcited by 2
  2. 2019A Blockchain-enabled Trustless Crowd-Intelligence Ecosystem on Mobile Edge Computingcited by 1

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Not cited yet.

Similar, not cited

Close in wording, no citation either way

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  6. 2025SANNet: A Semantic-Aware Agentic AI Networking Framework for Multi-Agent Cross-Layer Coordination
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