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ACPs: Agent Collaboration Protocols for the Internet of Agents

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arxiv 2505.13523 v1 pith:6RXUQ6PQ submitted 2025-05-18 cs.MA cs.AI

classification cs.MAcs.AI
keywords acpsprotocolsagentagentscollaborationinternetcommunicationaccess
verification ladder T0 review T1 audit T2 compute T3 formal
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With the rapid advancement of artificial intelligence, the proliferation of autonomous agents has introduced new challenges in interoperability, scalability, and coordination. The Internet of Agents (IoA) aims to interconnect heterogeneous agents through standardized communication protocols, enabling seamless collaboration and intelligent task execution. However, existing agent communication protocols such as MCP, A2A, and ANP remain fragmented and scenario-specific. To address this gap, we propose Agent Collaboration Protocols (ACPs), a comprehensive protocol suite for the IoA. ACPs include registration, discovery, interaction, and tooling protocols to support trustable access, capability orchestration, and workflow construction. We present the architecture, key technologies, and application workflows of ACPs, and demonstrate its effectiveness in a collaborative restaurant booking scenario. ACPs lay the foundation for building a secure, open, and scalable agent internet infrastructure.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index and Verified AgentFacts

    cs.NI 2025-07 reject novelty 4.0 of 10

    A proposed lean index plus signed AgentFacts schema aims to give AI agents fast, verifiable, privacy-preserving discovery at trillion-agent scale.

  2. The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web

    cs.CR 2025-07 reject novelty 3.0 of 10

    The paper presents a five-layer decentralized framework (Nanda) for agent discovery, trust scoring, and micropayments, but supports its deployment claims only with self-referential descriptions.

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