This platform has 5 author-reported AI software showcases and 18 environment or evaluation resources. Platform tags can describe an application, environment target, or interface dataset; use the resource type to distinguish them.
Combine keywords; put an exact phrase in double quotes.
The public 1.0 task set for Android software engineering: agents edit Kotlin/Java repositories and have their patches checked by build and test harnesses.
A large offline collection of human Android demonstrations containing natural-language goals, UI screenshots and recorded touch, typing and navigation actions.
An offline Android dataset of cross-app navigation demonstrations, combining screenshots and actions with instructions and semantic reasoning annotations.
A GUI video dataset and offline benchmark for understanding interface content, changes and operation sequences across desktop, mobile, web and XR recordings.
A mobile-agent benchmark library with task-specific setup, completion checks and resets for everyday Android apps such as calendar, contacts and file management.
An Android safety-research framework combining state/rule checks and a vision-language judge, with mobile task scenarios and recorded-risk trajectory evaluation.
An Android-agent evaluation framework with single-app and cross-app tasks in English and Chinese, trajectory annotations and an automated scoring pipeline.
Showcases document software made with AI. Environments support interaction. Benchmarks define evaluation tasks; datasets provide training or evaluation material. Resource types and development provenance are labeled separately.
Follow every entry back to its evidence.
We record original links, review dates, and known limits. Demos and code belong to their upstream projects. Read our method ↗