Summary

The Computer Control Agent is designed to overcome the limitations of traditional computer operations, enabling anyone to efficiently complete complex tasks using natural language commands. We have developed a unified multi-agentic platform that enable creation of robotic agent which can be seamlessly adapts to browsers, desktop applications, and mobile environments. By integrating environment perception, data acquisition, task planning, and intelligent execution optimization, we ensure reliability, stability, and scalability in task execution.This whitepaper outlines the technical architecture that enables this vision, including:

• Environment Recognition and Operation: Utilizing multimodal perception (text, images, UI structures, etc.) to accurately understand the operating environment.

• Data Sourcing and Labeling Pipeline: Building high-quality datasets to enhance the agent’s ability to comprehend and execute tasks.

• Actions Planning Model: Leveraging task decomposition, execution path optimization, and adaptive error recovery to improve efficiency and success rates.

Additionally, we collaborate with Web3 data infrastructure providers such as Codatta to facilitate the production and tokenization of knowledge-based data, ensuring continuous optimization for the agent. Through this framework, we aim to develop a truly universal Computer Control Agent, one that is not limited to single-task execution but can autonomously learn, adapt, and evolve, ultimately becoming an ideal bridge for human-computer collaboration.Looking ahead, we will continue to refine the agent’s task generalization capabilities, explore advanced multimodal fusion techniques, and expand its applications—transforming it into an intelligent computing assistant accessible to everyone.