DAWN: Designing Distributed Agents in a Worldwide Network
The rapid evolution of Large Language Models (LLMs) has transformed them from basic conversational tools into sophisticated entities capable of complex reasoning and decision-making. These advancements have led to the development of specialized LLM-based agents designed for diverse tasks such as cod...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11078243/ |
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| _version_ | 1849389767797506048 |
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| author | Zahra Aminiranjbar Jianan Tang Qiudan Wang Shubha Pant Mahesh Viswanathan |
| author_facet | Zahra Aminiranjbar Jianan Tang Qiudan Wang Shubha Pant Mahesh Viswanathan |
| author_sort | Zahra Aminiranjbar |
| collection | DOAJ |
| description | The rapid evolution of Large Language Models (LLMs) has transformed them from basic conversational tools into sophisticated entities capable of complex reasoning and decision-making. These advancements have led to the development of specialized LLM-based agents designed for diverse tasks such as coding and web browsing. As these agents become more capable, the need for a robust framework that facilitates global agentic communication and collaboration for building sophisticated software solutions has become increasingly important. Distributed Agents in a Worldwide Network (DAWN) addresses this need by providing an architectural framework that allows globally distributed agents of any provenance to be registered, discovered, and organized for building AI-based applications and solutions. In DAWN, a Principal Agent Service composes and oversees the execution of agentic applications. It delegates tasks to one or more Gateway Agent Services that provide for the discovery, registration, and connection of the most suitable agents to fit each application’s needs. DAWN offers three operational modes: No-LLM mode for deterministic and classical software development, Copilot for decision-making augmented using AI, and LLM Agent for autonomous operations. Last but not least, DAWN ensures the safety and security of agent collaborations globally through a dedicated safety, security, and compliance layer, protecting the network against attackers and adhering to stringent security and compliance standards. These features make DAWN a robust framework for designing, developing, and deploying agent-based applications across business and consumer applications. |
| format | Article |
| id | doaj-art-a92f6e98b03f4dfc9c67befb3db4ebf3 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-a92f6e98b03f4dfc9c67befb3db4ebf32025-08-20T03:41:52ZengIEEEIEEE Access2169-35362025-01-011313879513881210.1109/ACCESS.2025.358842511078243DAWN: Designing Distributed Agents in a Worldwide NetworkZahra Aminiranjbar0https://orcid.org/0009-0009-9982-3173Jianan Tang1https://orcid.org/0009-0005-9149-0352Qiudan Wang2https://orcid.org/0009-0003-9335-4093Shubha Pant3Mahesh Viswanathan4https://orcid.org/0009-0000-4535-381XCisco Systems, Inc., San Jose, CA, USACisco Systems, Inc., San Jose, CA, USACisco Systems, Inc., San Jose, CA, USACisco Systems, Inc., San Jose, CA, USACisco Systems, Inc., San Jose, CA, USAThe rapid evolution of Large Language Models (LLMs) has transformed them from basic conversational tools into sophisticated entities capable of complex reasoning and decision-making. These advancements have led to the development of specialized LLM-based agents designed for diverse tasks such as coding and web browsing. As these agents become more capable, the need for a robust framework that facilitates global agentic communication and collaboration for building sophisticated software solutions has become increasingly important. Distributed Agents in a Worldwide Network (DAWN) addresses this need by providing an architectural framework that allows globally distributed agents of any provenance to be registered, discovered, and organized for building AI-based applications and solutions. In DAWN, a Principal Agent Service composes and oversees the execution of agentic applications. It delegates tasks to one or more Gateway Agent Services that provide for the discovery, registration, and connection of the most suitable agents to fit each application’s needs. DAWN offers three operational modes: No-LLM mode for deterministic and classical software development, Copilot for decision-making augmented using AI, and LLM Agent for autonomous operations. Last but not least, DAWN ensures the safety and security of agent collaborations globally through a dedicated safety, security, and compliance layer, protecting the network against attackers and adhering to stringent security and compliance standards. These features make DAWN a robust framework for designing, developing, and deploying agent-based applications across business and consumer applications.https://ieeexplore.ieee.org/document/11078243/Large language modelAI agentsagentic software developmentmulti-agent systemsagentic frameworks |
| spellingShingle | Zahra Aminiranjbar Jianan Tang Qiudan Wang Shubha Pant Mahesh Viswanathan DAWN: Designing Distributed Agents in a Worldwide Network IEEE Access Large language model AI agents agentic software development multi-agent systems agentic frameworks |
| title | DAWN: Designing Distributed Agents in a Worldwide Network |
| title_full | DAWN: Designing Distributed Agents in a Worldwide Network |
| title_fullStr | DAWN: Designing Distributed Agents in a Worldwide Network |
| title_full_unstemmed | DAWN: Designing Distributed Agents in a Worldwide Network |
| title_short | DAWN: Designing Distributed Agents in a Worldwide Network |
| title_sort | dawn designing distributed agents in a worldwide network |
| topic | Large language model AI agents agentic software development multi-agent systems agentic frameworks |
| url | https://ieeexplore.ieee.org/document/11078243/ |
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