open-world-agents/desktop-env

A real-time, high-frequency, real-world desktop environment that is suitable for desktop-based ML development (agents, world models, etc.)

13
/ 100
Experimental

This tool helps researchers and developers who are building AI agents that interact with desktop applications. It provides a real-time, high-fidelity capture of a user's desktop screen, keyboard, mouse, and audio. The output is recorded video and event data that can be used to train and test intelligent agents.

No commits in the last 6 months.

Use this if you need to create realistic training environments and data for AI agents that learn by observing and interacting with a standard desktop interface.

Not ideal if you are looking for a simple screen recording tool for personal use or general content creation, as its primary focus is on machine learning development and data capture.

AI agent development desktop automation human-computer interaction research real-time data capture
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 0 / 25

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Stars

14

Forks

Language

Python

License

Last pushed

Jan 23, 2025

Commits (30d)

0

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