Collabagents Plataforma Ñomba'apo Oñondivegua Heta Agente ndive Jiahui Yu and Xudong Xing omba'apóva

Collabagents Plataforma Ñomba'apo Oñondivegua Heta Agente ndive Jiahui Yu and Xudong Xing omba'apóva ha'e rembiporuarã oñemba'eguaséva 2026 A' Design Award Brónse pegua Jehechaukaha Jejapo Ñeha'ã Categoría-pe.

BrónseJehechaukaha· 2026

Collabagents Plataforma Ñomba'apo Oñondivegua Heta Agente ndive

Jiahui Yu and Xudong Xing -gua

Mba'eporuhára: CollabAgents

A' Design Award Brónse Rembiporuarã Jehechaukaha Categoría-pe

10,538

Premio Rembiporuarã Oñemoneĩva

Emoneĩ Premio Reko #183243 Peg̃ua

Ehecha A' Design Award-pe Marandu Myasãi Mba'ete Jeguerohory

Sa'y

Diseño

Collabagents Plataforma Ñomba'apo Oñondivegua Heta Agente ndive Rehegua

CollabAgents ha'e peteĩ plataforma ñomba'apo oñondivegua heta agente ndive, ojejapóva umi tembiapo ijetu'úva rehehápe. Umi oiporúva ojapo peteĩ tembiapo rape ha ome'ẽ tembiapo umi tapichápe oikéva ipype. Ndaipóri jave peteĩ tembiapo jára, peteĩ agente inteligencia artificial rehegua ojagarra upe tembiapo ikatu haguã pe proceso oku'e jey. Pe tembiapo oñemohenda nudo ojoajúva rupive, ha peteĩ nudo oñemoambue jave, umi jehupyty oútava avei oñemoĩporã. Ojeporu ñe'ẽmondo oñemohendáva código rupive omondo haguã marandu hekopetéva ha omomichĩ haguã py'a mokõi. CollabAgents omoambue umi tembiapo rape líneal-va sistema oñemoambuekuaávape, ombohováiva umi moambuépe.

Jeguerohory

A' Design Award Brónse Rehegua

Collabagents Plataforma Ñomba'apo Oñondivegua Heta Agente ndive ohupyty A' Design Award Brónse, peteĩ ñehechakuaa heta prestigioso oñeme'ẽva diseño sobresaliente-pe ojekuaáva creatividad, ingenio ha astucia rupi. Umi ganador Brónse ha'e artefacto hábil ha creativo ohechaukáva experiencia, imaginación ha recurso umi diseñador-pe. Oñeha'ãrõ Collabagents Plataforma Ñomba'apo Oñondivegua Heta Agente ndive ha'eha peteĩ objeto ojehayhúva, admirado ha estimado, profesional ha innovador. Ko diseño ohupytýva A' Design Award Brónse ombojoaju mejor práctica arte, ciencia, diseño ha tecnología rehegua ha iporãiterei detalle rehe. Collabagents Plataforma Ñomba'apo Oñondivegua Heta Agente ndive ombohory necesidad, ohupyty ipotapy, ombovy'a sentimiento ha ohenói curiosidad.

Diseño Rapykuéri

Marandu Aty

Diseñador ome'ẽva'ekue crédito, aty pegua ha mba'e técnico.

Mba'e Iñambuéva: 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.
Tuichakue ha Ñemyenyhẽ: 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.
Ñe'ẽ Rape: multi-agent, collaboration, workflow, AI system, interaction design, role simulation, automation, UX, decision system
Ñeapopy Tecnología: 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.
Diseño Jepy'apy: 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.
Ñesẽheka: 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.
Inspiración: 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.
Proyecto Ára Tuichakue: The project was developed between 2025 and 2026 in the United States as an independent concept design focused on future collaboration systems.
Mba'apo Rape: 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-kuéra: No patents or trademarks are registered for this project.
Aty Rembiguái: Jiahui Yu
Xudong Xing
Ta'ãnga Mba'eñemoneĩ: 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.