AgentDNS: A Root Domain Naming System for LLM Agents
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
The rapid evolution of Large Language Model (LLM) agents has highlighted critical challenges in cross-vendor service discovery, interoperability, and communication. Existing protocols like model context protocol and agent-to-agent protocol have made significant strides in standardizing interoperability between agents and tools, as well as communication among multi-agents. However, there remains a lack of standardized protocols and solutions for service discovery across different agent and tool vendors. In this paper, we propose AgentDNS, a root domain naming and service discovery system designed to enable LLM agents to autonomously discover, resolve, and securely invoke third-party agent and tool services across organizational and technological boundaries. Inspired by the principles of the traditional DNS, AgentDNS introduces a structured mechanism for service registration, semantic service discovery, secure invocation, and unified billing. We detail the architecture, core functionalities, and use cases of AgentDNS, demonstrating its potential to streamline multi-agent collaboration in real-world scenarios. The source code will be published on https://github.com/agentdns.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 14 of its 30 references that are in the map. First posted on arXiv 28 May 2025.
Builds on
14 of 30 references.
Closest ancestors · 5
Same direction, newest first
- 2025A Survey of AI Agent Protocols23 Apr
- 2025Large Language Model Agent: A Survey on Methodology, Applications and Challenges27 Mar
- 2024AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation1 Aug
- 2024Improving Multi-Agent Debate with Sparse Communication Topology17 Jun
- 2024Understanding the planning of LLM agents: A survey5 Feb
Other references · 9
- 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,212
- 2025Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learningcited by 1,444
- 2024WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learningcited by 256
- 2024MindSearch: Mimicking Human Minds Elicits Deep AI Searchercited by 66
- 2024Large Language Model Agent in Financial Trading: A Surveycited by 60
- 2025LLM Agents for Education: Advances and Applicationscited by 59
- 2024AGILE: A Novel Reinforcement Learning Framework of LLM Agentscited by 45
- 2024A Scalable Communication Protocol for Networks of Large Language Modelscited by 45
- 2025Encrypted Large Model Inference: The Equivariant Encryption Paradigmcited by 3
Built on by
Citing papers per year: 2025: 3; 2026: 5.
8 papers.
- 2025Agentic Web: Weaving the Next Web with AI Agentscited by 45
- 2025Virtual Agent Economiescited by 21
- 2025Agentic Services Computingcited by 6
- 2026AgentGate: A Lightweight Structured Routing Engine for the Internet of Agentscited by 0
- 2026OpenAgenet / OAN White Paper: Open Infrastructure for Trusted Agent Interconnectioncited by 0
- 2026AONA: A Comprehensive Architecture and Workflow Design for Global Agentic Collaborationcited by 0
- 2026AI Tool Discovery at Scale: All You Need is DNScited by 0
- 2026A Scalable Trust Discovery Architecture for the Internet of Agentscited by 0
- 2026A Scalable Trust Discovery Architecture for the Internet of Agents17 Sep 2026
- 2026OpenAgenet / OAN White Paper: Open Infrastructure for Trusted Agent Interconnection2 Jun 2026
- 2026AONA: A Comprehensive Architecture and Workflow Design for Global Agentic Collaboration30 Apr 2026
- 2026AI Tool Discovery at Scale: All You Need is DNS19 Apr 2026
- 2026AgentGate: A Lightweight Structured Routing Engine for the Internet of Agents8 Apr 2026
- 2025Agentic Services Computing29 Sep 2025
- 2025Virtual Agent Economies12 Sep 2025
- 2025Agentic Web: Weaving the Next Web with AI Agents28 Jul 2025
Similar, not cited
Close in wording, no citation either way
- 2026Indexing the Unreadable: LLM-Native Recursive Construction and Search of Service Taxonomies
- 2026A Technical Taxonomy of LLM Agent Communication Protocols
- 2025Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperability
- 2026LLM-Enabled Multi-Agent Systems: Empirical Evaluation and Insights into Emerging Design Patterns & Paradigms
- 2026LLM-Based Agentic Systems for Software Engineering: Challenges and Opportunities
- 2025Seven Security Challenges in Cross-domain Multi-agent LLM Systems
- 2026LLM Agents Factory: Retrieval of Domain-Specific LLM Agents
- 2025AgentHub: A Registry for Discoverable, Verifiable, and Reproducible AI Agents