Co-TAP: Three-Layer Agent Interaction Protocol Technical Report
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Abstract (arXiv)
This paper proposes Co-TAP (T: Triple, A: Agent, P: Protocol), a three-layer agent interaction protocol designed to address the challenges faced by multi-agent systems across the three core dimensions of Interoperability, Interaction and Collaboration, and Knowledge Sharing. We have designed and proposed a layered solution composed of three core protocols: the Human-Agent Interaction Protocol (HAI), the Unified Agent Protocol (UAP), and the Memory-Extraction-Knowledge Protocol (MEK). HAI focuses on the interaction layer, standardizing the flow of information between users, interfaces, and agents by defining a standardized, event-driven communication paradigm. This ensures the real-time performance, reliability, and synergy of interactions. As the core of the infrastructure layer, UAP is designed to break down communication barriers among heterogeneous agents through unified service discovery and protocol conversion mechanisms, thereby enabling seamless interconnection and interoperability of the underlying network. MEK, in turn, operates at the cognitive layer. By establishing a standardized ''Memory (M) - Extraction (E) - Knowledge (K)'' cognitive chain, it empowers agents with the ability to learn from individual experiences and form shareable knowledge, thereby laying the foundation for the realization of true collective intelligence. We believe this protocol framework will provide a solid engineering foundation and theoretical guidance for building the next generation of efficient, scalable, and intelligent multi-agent applications.
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References · 14
- 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
- 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,422
- 2023Reasoning with Language Model is Planning with World Modelcited by 846
- 2025Why Do Multi-Agent LLM Systems Fail?cited by 559
- 2020Emergent Multi-Agent Communication in the Deep Learning Eracited by 168
- 2025A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP)cited by 98
- 2025Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systemscited by 58
- 2025Robin: A multi-agent system for automating scientific discoverycited by 57
- 2025Large Language Models for Planning: A Comprehensive and Systematic Surveycited by 38
- 2025Advancing Multi-Agent Systems Through Model Context Protocol: Architecture, Implementation, and Applicationscited by 23
- 2017Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processescited by 21
- 2025Survey of LLM Agent Communication with MCP: A Software Design Pattern Centric Reviewcited by 14
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