Apple Researchers Propose Weblica: Scalable Training Environments for Visual Web Agents

Jul 10, 2026

Apple researchers have proposed Weblica, a framework designed to construct reproducible and scalable web environments for training visual web agents. Weblica uses HTTP-level caching to capture and replay stable visual states while preserving interactive behavior, and employs LLM-based environment synthesis to scale training data. This approach aims to address the challenges posed by the web's complexity and constant change in training such agents.

Why it matters: Weblica could advance the development of visual web agents by enabling more scalable and reproducible training environments.

Full story at: Apple Machine Learning Research ↗