OSWorld
OSWorld — benchmark multimodal agents on open-ended tasks in real computer environments.
Benchmark computer-use agents on long, real-world desktop tasks.
OSWorld-V2 is an open-source ai agents project by xlang-ai (xlang-ai/OSWorld-V2 on GitHub). It has 353 GitHub stars and 53 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 1 October 2026.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Actual desktops, not mocks.
Dozens of steps, like real work.
Clicks, typing, navigation.
The software people actually use.
Standardized tasks and scoring.
Purpose-built for CUAs.
Download the source and move into the project folder.
git clone https://github.com/xlang-ai/OSWorld-V2.git
cd OSWorld-V2Isolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m osworld_v2 # check README for the exact commandIt is an open-source project at xlang-ai/OSWorld-V2 with 53 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — Apache 2.0 allows commercial use and modification. Keep the license and notice files, and note it includes a patent grant.
Tasks spanning dozens of steps across real applications — not single-turn Q&A.
Virtualized OS environments per the setup docs; it's heavier than a chat benchmark.
Clone the repo and follow the README quickstart — the docs at https://osworld-v2.xlang.ai walk through setup.
OSWorld — benchmark multimodal agents on open-ended tasks in real computer environments.
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