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

Collabagents Platform Kolaborasi Multi-Agen dek Jiahui Yu and Xudong Xing adolah pamenang nan sangaik tahormat dari A' Design Award Gangsa 2026 nan sangaik prestigius dalam Kategori Kompetisi Antarmuka.

GangsaAntarmuka· 2026

Collabagents Platform Kolaborasi Multi-Agen

dek Jiahui Yu and Xudong Xing

Klien: CollabAgents

Pamenang A' Design Award Gangsa dalam Kategori Antarmuka

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Pamenang Pangharogaan Taverifikasi

Verifikasi Status Pangharogaan untuak #183243

Caliak di A' Design Award Siaran Pers Lencana Penghargaan

Warno

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Tantang Collabagents Platform Kolaborasi Multi-Agen

CollabAgents adolah platform kolaborasi multi-agen nan dirancang untuak alur karajo nan kompleks. Pangguno mambuek alur karajo dan mambarikan peran ka urang-urang nan talibaik. Bilo ado peran nan kosong, agen kecerdasan buatan ka ma-ambiak peran tu supayo prosesnyo taruih bajalan. Karajo disusun sabagai node-node nan tahubuang, dan ma-edit ciek node ka mampabarui langkah-langkah salanjuiknyo. Komunikasi tastruktur babasis kode dipakai untuak mamindahkan informasi sacaro tapek dan mangurangi ambiguitas. CollabAgents maubah alur karajo linear manjadi sistem adaptif nan tanggap taradok parubahan.

Pangakuan

Tantang A' Design Award Gangsa

Collabagents Platform Kolaborasi Multi-Agen adolah pamenang A' Design Award Gangsa, sabuah pangakuan nan sangaik bapresti nan dibarikan ka rancangan nan cemerlang nan dicirikan dek kreativitas, kacerdikan jo kabijaksanaan. Pamenang Gangsa adolah karya nan cukuik mahir jo kreatif sacaro mangesankan nan mamastikan pangalaman nan luas, imajinasi jo kacerdikan parancangnyo. Collabagents Platform Kolaborasi Multi-Agen dipaokan manjadi bando nan sangaik dihormati, dikagumi jo disayangi, nan profesional jo inovatif sacaro nampak. Rancangan nan manang Gangsa iko mamuek praktik tabaik dalam seni, ilimu, rancangan jo teknologi jo cemerlang dalam parhatian ka rincian. Collabagents Platform Kolaborasi Multi-Agen mamanuhi kaparluan jo elok, manyantuah karinduan, mamikaik parasaan jo manarik raso ingin tahu.

Di Baliak Desain

Kit Pers

Kredit, anggota tim jo rincian teknis nan disadioan dek perancang.

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.
Dimensi & 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.
Penelitian: 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.
Alua 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.