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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.08263 |
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| _version_ | 1866918174556946432 |
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| author | An, Shunyu Wang, Miao Li, Yongchao Wan, Dong Wang, Lina Qin, Ling Gao, Liqin Fan, Congyao Mao, Zhiyong Pu, Jiange Xia, Wenji Zhao, Dong Hao, Zhaohui Hu, Rui Lu, Ji Zhou, Guiyue Tang, Baoyu Gao, Yanqin Du, Yongsheng Xu, Daigang Huang, Lingjun Wang, Baoli Zhang, Xiwen Wang, Luyao Liu, Shilong |
| author_facet | An, Shunyu Wang, Miao Li, Yongchao Wan, Dong Wang, Lina Qin, Ling Gao, Liqin Fan, Congyao Mao, Zhiyong Pu, Jiange Xia, Wenji Zhao, Dong Hao, Zhaohui Hu, Rui Lu, Ji Zhou, Guiyue Tang, Baoyu Gao, Yanqin Du, Yongsheng Xu, Daigang Huang, Lingjun Wang, Baoli Zhang, Xiwen Wang, Luyao Liu, Shilong |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_08263 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Co-TAP: Three-Layer Agent Interaction Protocol Technical Report An, Shunyu Wang, Miao Li, Yongchao Wan, Dong Wang, Lina Qin, Ling Gao, Liqin Fan, Congyao Mao, Zhiyong Pu, Jiange Xia, Wenji Zhao, Dong Hao, Zhaohui Hu, Rui Lu, Ji Zhou, Guiyue Tang, Baoyu Gao, Yanqin Du, Yongsheng Xu, Daigang Huang, Lingjun Wang, Baoli Zhang, Xiwen Wang, Luyao Liu, Shilong Artificial Intelligence 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. |
| title | Co-TAP: Three-Layer Agent Interaction Protocol Technical Report |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2510.08263 |