NANDA Adaptive Resolver: Architecture for Dynamic Resolution of AI Agent Names

• URL: http://arxiv.org/abs/2508.03113v1
• Date: Tue, 05 Aug 2025 05:47:39 GMT
• Title: NANDA Adaptive Resolver: Architecture for Dynamic Resolution of AI Agent Names
• Abstract summary: AdaptiveResolver is a dynamic microservice architecture designed to address the limitations of static endpoint resolution for AI agent communication.<n>Unlike traditional DNS or static URLs, AdaptiveResolver enables context-aware, real-time selection of communication endpoints.
• Score: 9.840894443659131
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: AdaptiveResolver is a dynamic microservice architecture designed to address the limitations of static endpoint resolution for AI agent communication in distributed, heterogeneous environments. Unlike traditional DNS or static URLs, AdaptiveResolver enables context-aware, real-time selection of communication endpoints based on factors such as geographic location, system load, agent capabilities, and security threats. Agents advertise their Agent Name and context requirements through Agent Fact cards in an Agent Registry/Index. A requesting Agent discovers a Target Agent using the registry. The Requester Agent can then resolve the Target Agent Name to obtain a tailored communication channel to the agent based on actual environmental context between the agents. The architecture supports negotiation of trust, quality of service, and resource constraints, facilitating flexible, secure, and scalable agent-to-agent interactions that go beyond the classic client-server model. AdaptiveResolver provides a foundation for robust, future-proof agent communication that can evolve with increasing ecosystem complexity.

Related papers

• SANEmerg: An Emergent Communication Framework for Semantic-aware Agentic AI Networking [11.675585308639839]
  Emergent communication offers a novel solution by enabling autonomous agents that support task-specific signaling protocols.<n>In this paper, we consider a multi-agent emergent communication framework, tailored for semantic-aware AgentNet systems.<n>Our proposed framework, called SANEmerg, is designed to facilitate the emergence of communication for collaborative task fulfillment.
  arXiv  Detail & Related papers  (2026-05-07T08:30:43Z)
• DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform for AI Agents [121.77550256034]
  DecodingTrust-Agent Platform (DTap) is a controllable and interactive red-teaming platform for AI agents.<n>DTap-Red is the first autonomous red-teaming agent that explores diverse injection vectors and autonomously discovers effective attack strategies.<n>Through DTap, we conduct large-scale evaluations of popular AI agents built on various backbone models.
  arXiv  Detail & Related papers  (2026-05-06T11:59:48Z)
• Beyond Context Sharing: A Unified Agent Communication Protocol (ACP) for Secure, Federated, and Autonomous Agent-to-Agent (A2A) Orchestration [0.0]
  This paper introduces the Agent Communication Protocol (ACP)<n>ACP provides a standardized framework for Agent-to-Agent interaction.<n>ACP reduces inter-agent communication latency by % while maintaining a zero-trust security posture.
  arXiv  Detail & Related papers  (2026-02-11T17:02:12Z)
• Towards Adaptive, Scalable, and Robust Coordination of LLM Agents: A Dynamic Ad-Hoc Networking Perspective [31.81236449944822]
  RAPS is a reputation-aware publish-subscribe paradigm for adaptive, scalable, and robust coordination of LLM agents.<n>RAPS incorporates two coherent overlays: (i) Reactive Subscription, enabling agents to dynamically refine their intents; and (ii) Bayesian Reputation, empowering each agent with a local watchdog to detect and isolate malicious peers.
  arXiv  Detail & Related papers  (2026-02-08T15:26:02Z)
• AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications [95.42093979627703]
  AgentScope supports flexible and efficient tool-based agent-environment interactions.<n>We ground agent behaviors in the ReAct paradigm and offer advanced agent-level infrastructure.<n>AgentScope also includes robust engineering support for developer-friendly experiences.
  arXiv  Detail & Related papers  (2025-08-22T10:35:56Z)
• Using the NANDA Index Architecture in Practice: An Enterprise Perspective [9.707223291705601]
  The proliferation of autonomous AI agents represents a paradigmatic shift from traditional web architectures toward collaborative intelligent systems.<n>This paper presents a comprehensive framework addressing the fundamental infrastructure requirements for secure, trustworthy, and interoperable AI agent ecosystems.
  arXiv  Detail & Related papers  (2025-08-05T05:27:27Z)
• Agentic Web: Weaving the Next Web with AI Agents [109.13815627467514]
  The emergence of AI agents powered by large language models (LLMs) marks a pivotal shift toward the Agentic Web.<n>In this paradigm, agents interact directly with one another to plan, coordinate, and execute complex tasks on behalf of users.<n>We present a structured framework for understanding and building the Agentic Web.
  arXiv  Detail & Related papers  (2025-07-28T17:58:12Z)
• AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction [70.60422261117816]
  We propose a new framework that rethinks multi-agent coordination through a sequential structure rather than a graph structure.<n>Our method focuses on two key directions: (1) Next-Agent Prediction, which selects the most suitable agent role at each step, and (2) Next-Context Selection, which enables each agent to selectively access relevant information from any previous step.
  arXiv  Detail & Related papers  (2025-06-21T18:34:43Z)
• Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperability [0.0]
  The proliferation of AI agents requires robust mechanisms for secure discovery.<n>This paper introduces the Agent Name Service (ANS), a novel architecture based on DNS addressing the lack of a public agent discovery framework.
  arXiv  Detail & Related papers  (2025-05-15T17:49:36Z)
• Agent-as-a-Service based on Agent Network [9.5094423572869]
  We propose Agent-as-a-Service based on Agent Network (A-AN), a service-oriented paradigm grounded in the Role-Goal-Process-Service (RGPS) standard.<n>A-AN unifies the entire agent lifecycle, including construction, integration, interoperability, and networked collaboration.<n>We release a dataset containing 10,000 long-horizon multi-agent to facilitate future research on long-chain collaboration in MAS.
  arXiv  Detail & Related papers  (2025-05-13T11:15:19Z)
• Internet of Agents: Fundamentals, Applications, and Challenges [66.44234034282421]
  We introduce the Internet of Agents (IoA) as a foundational framework that enables seamless interconnection, dynamic discovery, and collaborative orchestration among heterogeneous agents at scale.<n>We analyze the key operational enablers of IoA, including capability notification and discovery, adaptive communication protocols, dynamic task matching, consensus and conflict-resolution mechanisms, and incentive models.
  arXiv  Detail & Related papers  (2025-05-12T02:04:37Z)
• IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems [2.2810745411557316]
  We introduce IntellAgent, a scalable, open-source framework to evaluate conversational AI systems.<n>IntellAgent automates the creation of synthetic benchmarks by combining policy-driven graph modeling, realistic event generation, and interactive user-agent simulations.<n>Our findings demonstrate that IntellAgent serves as an effective framework for advancing conversational AI by addressing challenges in bridging research and deployment.
  arXiv  Detail & Related papers  (2025-01-19T14:58:35Z)
• Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence [79.5316642687565]
  Existing multi-agent frameworks often struggle with integrating diverse capable third-party agents. We propose the Internet of Agents (IoA), a novel framework that addresses these limitations. IoA introduces an agent integration protocol, an instant-messaging-like architecture design, and dynamic mechanisms for agent teaming and conversation flow control.
  arXiv  Detail & Related papers  (2024-07-09T17:33:24Z)
• AgentScope: A Flexible yet Robust Multi-Agent Platform [66.64116117163755]
  AgentScope is a developer-centric multi-agent platform with message exchange as its core communication mechanism. The abundant syntactic tools, built-in agents and service functions, user-friendly interfaces for application demonstration and utility monitor, zero-code programming workstation, and automatic prompt tuning mechanism significantly lower the barriers to both development and deployment.
  arXiv  Detail & Related papers  (2024-02-21T04:11:28Z)
• Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel [81.39444892747512]
  In Multi-Agent Reinforcement Learning (MARL), specialized channels are often introduced that allow agents to communicate directly with one another. We propose an alternative approach whereby agents communicate through an intelligent facilitator that learns to sift through and interpret signals provided by all agents to improve the agents' collective performance.
  arXiv  Detail & Related papers  (2022-05-21T14:11:33Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.