NetGent: Agent-Based Automation of Network Application Workflows
2025-09-03
Summary
NetGent is an AI-agent framework designed to automate complex application workflows, generating realistic network traffic datasets necessary for machine learning in networking. By allowing users to specify workflows in natural language, NetGent translates these into executable code that can adapt to changes in user interfaces, providing a scalable method to create diverse and repeatable datasets across various applications such as video streaming and social media.
Why This Matters
NetGent addresses the challenge of collecting realistic data for machine learning in networking, which is often hindered by the variability and complexity of web application interfaces. This system not only enhances the robustness and efficiency of data generation but also supports the development of generalizable ML models by enabling the simulation of realistic network conditions.
How You Can Use This Info
Professionals in networking and data science can leverage NetGent to streamline the process of data collection for ML model training, reducing costs and improving the scalability of their operations. By automating workflows with natural language prompts, users can ensure data diversity and repeatability, crucial for building robust networking solutions. Additionally, adapting quickly to UI changes minimizes downtime and maintains the accuracy of data generation processes.