Collabagents Platfòm Kolaborasyon Milti-Ajan pa Jiahui Yu and Xudong Xing

Dizayn Collabagents Platfòm Kolaborasyon Milti-Ajan pa Jiahui Yu and Xudong Xing se yon gayan ki gen anpil estim nan konpetisyon trè prestijye 2026 A' Design Award Bwonz nan Kategori Konpetisyon Entèfas.

BwonzEntèfas· 2026

Collabagents Platfòm Kolaborasyon Milti-Ajan

pa Jiahui Yu and Xudong Xing

Kliyan: CollabAgents

Gayan A' Design Award Bwonz nan Kategori Entèfas

10,538

Gayan Pri Verifye

Verifye Estati Pri pou #183243

Gade sou A' Design Award Kominike Laprès Badj Prim

Koulè

Konsepsyon an

Konsènan Collabagents Platfòm Kolaborasyon Milti-Ajan

CollabAgents se yon platfòm kolaborasyon milti-ajan ki fèt pou workflow konplèks. Itilizatè yo kreye yon workflow epi yo bay moun ki enplike yo wòl. Lè yon wòl manke, yon ajan entèlijans atifisyèl pran wòl sa a pou pwosesis la kontinye. Travay la òganize kòm nœud ki konekte, e lè ou modifye yon nœud, sa mete ajou etap ki vini apre yo. Yo itilize kominikasyon estriktire ki baze sou kòd pou transfere enfòmasyon avèk presizyon epi diminye anbigwite. CollabAgents transfòme workflow lineyè yo an sistèm adaptatif ki reponn a chanjman.

Rekonesans lan

Konsènan A' Design Award Bwonz

Collabagents Platfòm Kolaborasyon Milti-Ajan se yon ganyan A' Design Award Bwonz, yon rekonesans ki gen anpil prestij yo bay design ekselan ki make pa kreyativite, enjenyozite ak finès. Ganyan Bwonz yo se objè ki abil anpil e ki kreyatif nan fason ki frape, ki otantifye gwo eksperyans, imajinasyon ak debouyaj designer yo. Yo atann Collabagents Platfòm Kolaborasyon Milti-Ajan pou se yon objè anpil moun estime, admire e renmen, ki pwofesyonèl e inovatè nan fason remakab. Design sa a ki ganyen A' Design Award Bwonz enkòpore pi bon pratik nan atizay, syans, design ak teknoloji, e li ekselan pou atansyon li bay detay. Collabagents Platfòm Kolaborasyon Milti-Ajan satisfè bezwen yon fason espledid, li touche dezi, li chame santiman e li atire kiryozite.

Dèyè Konsepsyon an

Dosye Laprès

Kredi, manm ekip ak detay teknik konseptè a bay.

Pwopriyete Inik: 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.
Dimansyon & Anbalaj: 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.
Etikèt: multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
Teknoloji Pwodiksyon: 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.
Defi Dizayn: 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.
Rechèch: 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.
Enspirasyon: 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.
Dire Pwojè: The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
Fliks Operasyon: 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.
Patant: No patents or trademarks are registered for this project.
Manm Ekip: Jiahui Yu
Xudong Xing
Kredi Imaj: 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.