Collabagents Platform Kolaborasi Multi-Agen dening Jiahui Yu and Xudong Xing

Karya Collabagents Platform Kolaborasi Multi-Agen dening Jiahui Yu and Xudong Xing minangka pemenang sing diajeni banget saka A' Design Award Perunggu 2026 sing bergengsi ing Kategori Kompetisi Desain Antarmuka, Interaksi lan Pengalaman Pangguna.

PerungguAntarmuka· 2026

Collabagents Platform Kolaborasi Multi-Agen

dening Jiahui Yu and Xudong Xing

Klien: CollabAgents

Pemenang A' Design Award Perunggu ing Kategori Antarmuka

10,538

Pemenang Penghargaan Terverifikasi

Verifikasi Status Penghargaan kanggo #183243

Deleng ing A' Design Award Siaran Pers Lencana Penghargaan

Warna

Desaine

Babagan Collabagents Platform Kolaborasi Multi-Agen

CollabAgents yaiku platform kolaborasi multi-agen sing dirancang kanggo alur kerja sing kompleks. Pangguna nggawe alur kerja lan menehi peran marang wong-wong sing terlibat. Nalika ana peran sing kosong, agen kecerdasan buatan njupuk peran kasebut supaya proses tetep mlaku. Pakaryan diatur minangka node-node sing nyambung, lan ngowahi siji node bakal nganyari langkah-langkah sabanjure. Komunikasi terstruktur adhedhasar kode digunakake kanggo nransfer informasi kanthi presisi lan nyuda ambiguitas. CollabAgents ngowahi alur kerja linear dadi sistem adaptif sing bisa nanggapi owah-owahan.

Pangakuan

Babagan A' Design Award Perunggu

Collabagents Platform Kolaborasi Multi-Agen menang A' Design Award Perunggu, pangenalan sing prestisius banget sing diparingake marang desain sing luar biasa sing dicirikake dening kreativitas, kapinteran lan kaweruh sing landhep. Pemenang Perunggu iku artefak sing trampil banget lan kreatif banget sing mbuktekake pengalaman sing jembar, imajinasi lan kapinteran para desainer. Collabagents Platform Kolaborasi Multi-Agen dikarepake dadi barang sing dihargai banget, dikagumi lan ditresnani, profesional lan inovatif banget. Desain sing menang A' Design Award Perunggu iki ngemot praktik sing paling apik ing seni, sains, desain lan teknologi, lan apik banget ing perhatiane marang rincian. Collabagents Platform Kolaborasi Multi-Agen nyukupi kabutuhan kanthi apik, nutul kekarepan, ngaya rasa lan narik rasa pengin weruh.

Ing Mburi Desain

Kit Pers

Kredit, anggota tim lan detail teknis sing diwenehake dening desainer.

Sifat Unik: 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.
Ukuran & Kemasan: 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.
Tag: multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
Teknologi Produksi: 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.
Tantangan Desain: 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.
Riset: 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.
Inspirasi: 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.
Durasi Proyek: The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
Alur Operasi: 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.
Paten: No patents or trademarks are registered for this project.
Anggota Tim: Jiahui Yu
Xudong Xing
Kredit Gambar: 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.