Dizayini ya Collabagents Nsanja Yogwirira Ntchito Limodzi ya Ma-Agent Ambiri ndi Jiahui Yu and Xudong Xing ndi wopambana wotamandika kwambiri pa mphotho yaulemu ya 2026 Mphoto ya Bronze ya A' Design Award mu Gawo la Mpikisano la Mapangidwe a Mawonekedwe, Kulumikizana ndi Zokumana ndi Ogwiritsa Ntchito.
BronzeMawonekedwe· 2026
Collabagents Nsanja Yogwirira Ntchito Limodzi ya Ma-Agent Ambiri
Kasitomala: CollabAgents
Wopambana pa Mphoto ya Bronze ya A' Design Award mu Gawo la Mawonekedwe
Wopambana Wotsimikizidwa
Tsimikizani Mkhalidwe wa Mphotho ya #183243Kapangidwe
Za Collabagents Nsanja Yogwirira Ntchito Limodzi ya Ma-Agent Ambiri
CollabAgents ndi nsanja yogwirira ntchito limodzi ya ma-agent ambiri yopangidwira ntchito zovuta komanso zotsatizana. Ogwiritsa ntchito amapanga ndondomeko ya ntchito ndikupatsa maudindo anthu okhudzidwa. Udindo wina ukasowa, agent wa nzeru zopangira (artificial intelligence) amatenga udindo umenewo kuti ntchito ipitirire. Ntchito imakonzedwa ngati ma-node olumikizana, ndipo kusintha node imodzi kumasintha njira zotsatira. Kulankhulana kokonzedwa bwino, kotengera ma-code, kumagwiritsidwa ntchito kutumiza uthenga molondola ndikuchepetsa chisokonezo. CollabAgents imasandutsa ndondomeko za ntchito zowongoka kukhala makina osinthasintha omwe amayankha ku zosintha.
Chidziwitso
Za Mphoto ya Bronze ya A' Design Award
Collabagents Nsanja Yogwirira Ntchito Limodzi ya Ma-Agent Ambiri ndi mmodzi mwa opambana a Mphoto ya Bronze ya A' Design Award, kuzindikirika kolemekezeka kwambiri komwe kumaperekedwa kwa mapangidwe abwino kwambiri omwe amaonekera ndi luso lolenga, kuchenjera ndi nzeru zakuthwa. Opambana a Bronze ndi zinthu zaluso kwambiri ndi zolenga modabwitsa zomwe zimatsimikizira zochitika zazikulu, kulingalira ndi kuchenjera kwa opanga awo. Collabagents Nsanja Yogwirira Ntchito Limodzi ya Ma-Agent Ambiri akuyembekezeka kukhala chinthu choyamikiridwa, chosirira ndi chokondedwa, chaukatswiri wapadera ndi chatsopano. Mapangidwe opambana Mphoto ya Bronze ya A' Design Award awa amaphatikiza machitidwe abwino kwambiri a luso, sayansi, kapangidwe ndi ukadaulo ndipo ndi abwino kwambiri chifukwa cha kusamala kwawo zazing'ono. Collabagents Nsanja Yogwirira Ntchito Limodzi ya Ma-Agent Ambiri amakwaniritsa zosowa mokongola, kukhudza zilakolako, kukopa mitima ndi kudzutsa chidwi.
Kumbuyo kwa Kapangidwe
Katundu wa Atolankhani
Umboni, mamembala a gulu ndi zambiri zapadera zoperekedwa ndi wopanga.
- Makhalidwe Apadera
- 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.
- Miyezo ndi Kuphimba
- 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.
- Zizindikiro
- multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
- Teknoloji Yopangira
- 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.
- Vuto la Dizayini
- 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. - Kafukufuku
- 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. - Chilimbikitso
- 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.
- Nthawi ya Polojekiti
- The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
- Mdondomeko ya Ntchito
- 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. - Petensi
- No patents or trademarks are registered for this project.
- Mamembala a Gulu
- Jiahui Yu
Xudong Xing - Mwini Zithunzi
- 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.
Zolipidwa
Fufuzani Kupitilira Designers.org
Onani zinthu, ntchito ndi mwayi kuchokera kwa ogulitsa athu aulaliki.
Zina Zofufuza
Mapangidwe Ofanana
Fufuzani mapangidwe ena opambana mphotho ochokera mu gulu lomweli, osankhidwa malinga ndi ukadaulo.