Collabagents Platfform Cydweithredu Aml-Asiant gan Jiahui Yu and Xudong Xing

Mae Collabagents Platfform Cydweithredu Aml-Asiant gan Jiahui Yu and Xudong Xing yn enillydd uchel ei barch o'r 2026 Gwobr Efydd A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Rhyngwyneb.

EfyddRhyngwyneb· 2026

Collabagents Platfform Cydweithredu Aml-Asiant

gan Jiahui Yu and Xudong Xing

Cleient: CollabAgents

Enillydd Gwobr Efydd A' Design Award yn y Categori Rhyngwyneb

10,538

Enillydd Gwobr Wedi'i Wirio

Gwirio Statws Gwobr ar gyfer #183243

Gweld yn A' Design Award Datganiad i'r Wasg Bathodyn Gwobr

Lliwiau

Y Dyluniad

Am Collabagents Platfform Cydweithredu Aml-Asiant

CollabAgents yw platfform cydweithredu aml-asiant a ddyluniwyd ar gyfer llifau gwaith cymhleth. Mae defnyddwyr yn creu llif gwaith ac yn neilltuo rolau i'r bobl sy'n rhan ohono. Pan fo rôl ar goll, mae asiant deallusrwydd artiffisial yn cymryd y rôl honno fel bod y broses yn parhau. Trefnir y gwaith fel nodau cysylltiedig, ac mae golygu un nod yn diweddaru'r camau sy'n dilyn. Defnyddir cyfathrebu strwythuredig, seiliedig ar god, i drosglwyddo gwybodaeth yn fanwl gywir a lleihau amwysedd. Mae CollabAgents yn troi llifau gwaith llinol yn systemau addasol sy'n ymateb i newid.

Y Gydnabyddiaeth

Am y Gwobr Efydd A' Design Award

Mae Collabagents Platfform Cydweithredu Aml-Asiant yn enillydd Gwobr Efydd A' Design Award, cydnabyddiaeth hynod fawreddog a roddir i ddyluniadau rhagorol sydd yn nodedig am greadigrwydd, dyfeisgarwch a chraffter. Mae enillwyr Efydd yn arteffactau medrus iawn a thrawiadol o greadigol sydd yn dilysu profiad helaeth, dychymyg a dyfeisgarwch eu dylunwyr. Disgwylir i Collabagents Platfform Cydweithredu Aml-Asiant fod yn wrthrych uchel ei fri, a edmygir ac a anwylir, sydd yn nodedig o broffesiynol ac arloesol. Mae'r dyluniad buddugol hwn o Wobr Efydd A' Design Award yn ymgorffori arferion gorau mewn celf, gwyddoniaeth, dylunio a thechnoleg, ac yn rhagorol am ei sylw i fanylion. Mae Collabagents Platfform Cydweithredu Aml-Asiant yn bodloni anghenion yn odidog, yn cyffwrdd â dyheadau, yn swyno teimladau ac yn apelio at chwilfrydedd.

Y Tu Ôl i'r Dyluniad

Pecyn i'r Wasg

Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.

Priodweddau Unigryw: 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.
Dimensiynau a Phecynnu: 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.
Tagiau: multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
Technoleg Cynhyrchu: 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.
Her Dylunio: 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.
Ymchwil: 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.
Ysbrydoliaeth: 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.
Hyd y Prosiect: The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
Llif Gweithrediad: 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.
Patentau: No patents or trademarks are registered for this project.
Aelodau'r Tîm: Jiahui Yu
Xudong Xing
Cydnabyddiaeth Delweddau: 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.