niuzaisheng/ScreenAgent
🤖 AI Agentniuzaisheng
A visual language model-driven agent capable of autonomous computer control and screen interaction.
ScreenAgent represents a significant advancement in autonomous computer control by treating the screen as a visual input for Large Language Models. Unlike traditional automation scripts that rely on static element selectors, ScreenAgent utilizes visual perception to interpret UI layouts, buttons, and text dynamically. The framework processes screen captures to generate actionable commands, allowing it to navigate applications, browse the web, and manage system tasks autonomously. Key technical innovations include a specialized feedback loop that allows the agent to observe the results of its actions, enabling error correction and multi-step reasoning. This approach makes it highly adaptable to various operating systems and software environments without requiring deep integration with underlying APIs. The repository provides the necessary Python infrastructure to deploy these agents, making it a foundational tool for researchers and developers interested in multimodal agentic workflows.
💡Highlights
- ├─IJCAI-24 published research
- ├─VLM-driven UI navigation
- └─Autonomous mouse/keyboard control
🎯For
- ├─AI Researchers
- ├─Automation Engineers
- └─Robotics Developers