
OSWorld for computer-use benchmarks
Evaluate agents that operate real desktop application interfaces in a controlled environment.
Explore AI projects, understand what they do and find something you can build with.
Showing 151–156 of 224 projects · Page 26 of 38

Evaluate agents that operate real desktop application interfaces in a controlled environment.

Test agents on simulated workplace tasks that span software and office tools.

Provide browser infrastructure that automation clients can connect to.

Build repeatable browser workflows around forms, navigation and extracted data.

Combine explicit browser steps with natural-language actions, extraction and observation.

Let a model navigate a browser and act on page elements.
Each page introduces the project, explains its capabilities and highlights practical takeaways. Follow the repository link for the latest documentation and setup instructions.
Sign in, choose Add Repo and paste the main URL of a public AI repository, not a file or issue link. Franklin AI uses the project’s README to build and publish a page and links your contribution to your profile. Each account can add up to 20 repositories a day.
Private repositories cannot be added. If the README is too short for an automatic page, or the project is already being reviewed, the repository is saved in your submissions with the reason for an admin to complete, and you are credited when it is published.
Its existing page stays as it is. Adding it again links that page to your profile instead of creating a second one.
Use the Category filter. Each card shows its categories, such as AI Agents or AI Development, and the repository’s owner and name.