Collabagents Urubuga rwo Gufatanya rw'Abakozi Benshi na Jiahui Yu and Xudong Xing

Umushinga Collabagents Urubuga rwo Gufatanya rw'Abakozi Benshi wa Jiahui Yu and Xudong Xing ni uwatsinze igihembo cyubahwa cyane 2026 Igihembo cya A' Design Award cya Buronze mu Cyiciro cy'Ihiganwa cya Igishushanyo cy'Uburyo bwo Gukoresha.

BuronzeUburyo bwo Gukoresha· 2026

Collabagents Urubuga rwo Gufatanya rw'Abakozi Benshi

na Jiahui Yu and Xudong Xing

Umukiriya: CollabAgents

Uwatsinze Igihembo cya A' Design Award cya Buronze mu Cyiciro cya Uburyo bwo Gukoresha

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Uwatsinze Igihembo Yemejwe

Emeza Uko Igihembo Gihagaze ku #183243

Reba kuri A' Design Award Itangazo ry'Ikinyamakuru Ikimenyetso cy'Igihembo

Amabara

Imigereranyo

Ibyerekeye Collabagents Urubuga rwo Gufatanya rw'Abakozi Benshi

CollabAgents ni urubuga rwo gufatanya rw'abakozi benshi rwagenewe imirimo igoye ikurikirana. Abakoresha bakora urutonde rw'imirimo bakanaha inshingano abantu babigizemo uruhare. Iyo inshingano imwe ibuze, umukozi w'ubwenge bw'ubukorano (artificial intelligence agent) afata iyo nshingano kugira ngo inzira ikomeze. Akazi gatunganyijwe nk'utudomo duhuzwa hagati yatwo, kandi guhindura akadomo kamwe bihindura intambwe zikurikira. Itumanaho rifite imiterere ishingiye kuri kode rikoreshwa mu kohereza amakuru mu buryo bunoze no kugabanya urujijo. CollabAgents ihindura imirimo ikurikirana mu buryo buhamye ikayigira sisitemu zihinduka zisubiza ku mpinduka.

Ishimwe

Ibyerekeye Igihembo cya A' Design Award cya Buronze

Collabagents Urubuga rwo Gufatanya rw'Abakozi Benshi ni uwegukanye Igihembo cya A' Design Award cya Buronze, ishimwe ry'agaciro gakomeye ritangwa ku bishushanyo by'indashyikirwa birangwa no guhanga, ubwenge n'ubushishozi. Abegukanye Buronze ni ibihangano bifite ubuhanga bwinshi kandi bihanga cyane, bishimangira uburambe, ubwenge n'ubushobozi bw'ababihanze. Collabagents Urubuga rwo Gufatanya rw'Abakozi Benshi biteganyijwe ko izaba ikintu cyubahwa, gishimwa kandi gikundwa, gifite ubunyamwuga n'udushya. Iki gishushanyo cyegukanye Buronze gikoresha uburyo bwiza mu buhanzi, ubumenyi, ubushushanyo n'ikoranabuhanga kandi kirarenze mu gutaha ku tuntu duto. Collabagents Urubuga rwo Gufatanya rw'Abakozi Benshi ishimisha ibyo dukeneye, ikora ku byifuzo byacu, itwara amarangamutima yacu kandi ikurura amatsiko yacu.

Inyuma y'Imigereranyo

Dosiye y'Itangazamakuru

Amazina y'abagize uruhare, abagize itsinda n'amakuru y'ubuhanga byatanzwe n'umuhanzi.

Ibintu Bidasanzwe: 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.
Ibipimo n'Ipaki: 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.
Ibibazo Fatizo: multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
Ikoranabuhanga ryo Guteza Imbere: 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.
Ikibazo cy'Ishusho: 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.
Ubushakashatsi: 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.
Ibyatumye Habaho: 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.
Igihe cy'Umushinga: The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
Uburyo bw'Imikorere: 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.
Patente: No patents or trademarks are registered for this project.
Abagize Itsinda: Jiahui Yu
Xudong Xing
Abafotoye: 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.