Collabagents منصة التعاون متعددة الوكلاء by Jiahui Yu and Xudong Xing is a highly esteemed winner of the very prestigious 2026 جائزة A' Design Award البرونزية in تصميم الواجهات والتفاعل وتجربة المستخدم Competition Category.
برونزالواجهات· 2026
Collabagents منصة التعاون متعددة الوكلاء
Client: CollabAgents
جائزة A' Design Award البرونزية Winner in الواجهات Category
Verified Award Winner
Verify Award Status for #183243The Design
About Collabagents منصة التعاون متعددة الوكلاء
CollabAgents هي منصة تعاون متعددة الوكلاء مصمّمة لسير العمل المعقّد. ينشئ المستخدمون مسار عمل ويوزّعون الأدوار على الأشخاص المعنيين. وعند غياب أحد الأدوار، يتولّى وكيل ذكاء اصطناعي هذا الدور لتستمر العملية دون انقطاع. يُنظَّم العمل في هيئة عُقد مترابطة، بحيث يؤدي تعديل أي عقدة إلى تحديث الخطوات اللاحقة لها. ويُعتمد أسلوب تواصل مُهيكل قائم على الرموز البرمجية لنقل المعلومات بدقة والحدّ من الالتباس. وبذلك تحوّل CollabAgents مسارات العمل الخطية إلى أنظمة تكيّفية تستجيب للتغيير.
The Recognition
About the جائزة A' Design Award البرونزية
Collabagents منصة التعاون متعددة الوكلاء هو فائز بجائزة A' Design Award البرونزية، وهي تقدير رفيع المكانة يُمنح للتصاميم المتميزة التي تتسم بالإبداع والبراعة وحدة الذكاء. والفائزون بالبرونزية مصنوعات بارعة بوفرة ومبدعة بصورة لافتة، تؤكد الخبرة الواسعة والخيال وسعة الحيلة لدى مصمميها. ويُتوقع أن يكون Collabagents منصة التعاون متعددة الوكلاء قطعة عالية التقدير ومحل إعجاب وحب، شديدة الاحترافية والابتكار. وهذا التصميم الفائز بجائزة A' Design Award البرونزية يتبنى أفضل الممارسات في الفن والعلم والتصميم والتكنولوجيا، ويتميز بعنايته بالتفاصيل. ويلبّي Collabagents منصة التعاون متعددة الوكلاء الاحتياجات على أفضل وجه، ويلامس الرغبات، ويأسر المشاعر، ويستثير الفضول.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- CollabAgents is a multi-agent collaboration system that simulates missing roles with AI agents to ensure continuous workflows. Node-level editing enables targeted updates, reducing rework by over 85%, while code-based communication improves precision and speed. It transforms linear workflows into adaptive, resilient systems.
- Dimensions & Packaging
- The system features a node-based workflow structure, role simulation modules, and dynamic process propagation. It supports real-time updates, modular task execution, and scalable multi-agent coordination. Key capabilities include node-level editing, automatic downstream updates, and role auto-completion to maintain continuous workflow execution.
- Tags
- multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
- Production Technology
- CollabAgents is built using AI-driven multi-agent architecture, workflow modeling, and structured data exchange. The system leverages role-based agent simulation, node-level state management, and real-time synchronization to enable adaptive collaboration. Code-based communication ensures precise information transfer and reduces ambiguity across processes.
- Design Challenge
- The main challenge was designing a system that balances automation with user control in complex workflows.
Traditional collaboration relies heavily on human coordination, making it difficult to handle missing roles, dynamic changes, and process interruptions. The challenge was to create a system that allows targeted intervention without breaking the overall workflow.
This was addressed through node-level editing and role simulation, enabling flexible adjustments while maintaining system stability and continuity. - Research
- The project is based on research into cross-functional collaboration challenges, including workflow inefficiencies, role dependency, and communication breakdowns.
Methods included workflow analysis, scenario mapping, and observation of real-world team processes. The research identified key issues such as delays caused by missing roles and the need for more adaptive systems.
The design explores how multi-agent systems can simulate roles, improve coordination, and reduce rework, resulting in more efficient and resilient collaboration. - Inspiration
- CollabAgents is inspired by the complexity of cross-functional collaboration, where delays often result from missing roles and fragmented communication. It explores how AI agents can simulate expertise and fill capability gaps in real time, transforming collaboration into a more adaptive and efficient process.
- Project Duration
- The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
- Operation Flow
- Users start by selecting or creating a workflow and assigning roles. If roles are missing, AI agents automatically step in to continue the process.
Users can interact with specific steps, make changes, and instantly see updates applied to the rest of the workflow. Instead of restarting the entire process, only affected parts are adjusted.
This enables smoother collaboration, faster decision-making, and reduces delays caused by miscommunication or missing inputs. - Patents
- No patents or trademarks are registered for this project.
- Team Members
- Jiahui Yu
Xudong Xing - Image Credits
- Image #1: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
Image #2: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
Image #3: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
Image #4: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
Image #5: Creators Jiahui Yu and Xudong Xing, CollabAgents, 2025.
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