Web agents require diverse, executable, and resettable website environments for reproducible training and evaluation. Human-assisted mirrors demand per-site engineering, while generative construction
WebAnything automates the reconstruction of reusable, source-grounded web environments from real URLs, enabling scalable agent training and evaluation with verified fidelity.
Web agents require diverse, executable, and resettable website environments for reproducible training and evaluation. Human-assisted mirrors demand per-site engineering, while generative construction can diverge from specified real websites. Capture-and-replay preserves observations, with interaction coverage constrained by captured content and replay capabilities. We present WebAnything, a fully automated framework that reconstructs source-grounded, reusable Web environments from real URLs without per-site manual implementation or repair after initial setup and authorization. An Explorer-Builder collects browser-observable structures, resources, and interaction outcomes; an independent…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
WebAnything: From the Wild Web to Scalable Agent Environments was first seen on Hugging Face · Daily papers on Oct 30, 2026. Since then it has appeared in 37 checks on 4 different days. Its best position was #18 of 30, reached on Oct 30, 17:28 UTC. It dropped off the list after Nov 2, 03:28 UTC.
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Not at the moment. It was last on the list on Nov 2, 03:28 UTC, after 4 days of trending.
#18 on Hugging Face · Daily papers, on Oct 30, 17:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Oct 30, 2026 and has been on the list on 4 days (37 checks) since.