LabOS is a software designed to help you run scientific experiments automatically. It uses artificial intelligence to handle research tasks. With LabOS, you can set up research steps, use multiple AI models, and run experiments on powerful remote GPUs. It also keeps track of your work and remembers past actions to make running new experiments faster.
This tool is built for researchers who want to save time and reduce manual work. It offers a four-step process to manage your experiments, making complex science easier to handle on your computer.
LabOS works on Windows and does not need any programming skills to operate.
Before downloading LabOS, make sure your computer meets these requirements:
- Windows 10 or newer (64-bit)
- At least 8 GB of RAM (16 GB recommended)
- 10 GB of free disk space
- Internet connection for remote GPU tasks and updates
- CPU with multiple cores (Intel i5 or equivalent suggested)
LabOS uses remote GPUs for heavy computation. This means you don't need a powerful graphics card in your PC. The software will connect to external GPU services to run complex AI models.
This section will guide you through downloading and running LabOS on your Windows computer.
Click the button below to open the LabOS releases page. This page contains the files you need to install the software.
On the releases page, look for the latest version. It will be labeled with a version number, such as "v1.0" or higher.
Find the file with this pattern:
LabOS-Setup-x.y.z.exe (where x.y.z is the version number)
This is the Windows installer. It handles all the setup for you.
Click the installer file link. Your browser will start downloading the .exe file.
Wait for the download to finish before opening the file.
Once downloaded, open the installer by double-clicking the .exe file.
- Windows might ask if you trust the file. Choose “Yes” or “Run.”
- Follow the setup prompts on the screen.
- Accept the license agreement.
- Choose an installation folder or use the default.
- Click "Install" to begin.
The installer will copy files and prepare LabOS for you.
After the installer finishes:
- Find the LabOS icon on your desktop or in the Start Menu.
- Double-click to open the program.
The first time you open LabOS, it might take a few moments to set up its environment.
LabOS operates in four steps to help you manage your research projects:
- Design Your Experiment: Create a plan with all steps in your research.
- Configure AI Models: Choose and set up the AI programs you want to run.
- Run Experiments: Start the automation and let LabOS handle the work.
- Review Results: Check logs, outputs, and past runs stored in the system memory.
The LabOS window has a simple interface:
- A menu bar for main actions
- Panels to show experiments, settings, and AI models
- Buttons for running and stopping tasks
Everything is clickable with no coding needed.
LabOS includes several tools for research automation:
- Multiple AI Model Support: Use several AI language models to handle different parts of your work.
- Codex Integration: Includes Codex for code-related tasks.
- Remote GPU Access: Uses powerful GPUs online for fast processing.
- Memory System: Saves your project data and previous runs for easy reference.
- Four-Stage Pipeline: Streamlined workflow for creating and running experiments.
- Experiment Management: Keep projects organized and ready to restart or modify.
- FastAPI Backend: LabOS uses FastAPI to ensure smooth and fast responses.
- Open Source: You can view how it works or contribute if you wish.
- Open your web browser.
- Go to the LabOS releases page:
https://github.com/Clxp8983/LabOS/releases - Look for the latest Windows installer file (
LabOS-Setup-x.y.z.exe). - Click to download it.
- After download, open the file.
- Follow the setup instructions.
- Launch the program from your desktop or Start Menu.
If you run into problems, try these ideas:
- Make sure your Windows version is up to date.
- Check if your internet connection is active.
- Close other heavy programs to free memory.
- Restart LabOS if it stops responding.
- Reboot your PC if issues persist.
If LabOS fails to launch, reinstall it using the latest installer.
- Save your work often using the built-in save option.
- Use a fast and stable internet connection for remote GPU jobs.
- Regularly check the releases page for updates.
- Keep your projects organized with clear names.
- Use the memory system to recall past experiments easily.
The LabOS repository page on GitHub includes further instructions and issues tracking if you want to learn more or report a problem.
Website: https://github.com/Clxp8983/LabOS
Download page:
https://github.com/Clxp8983/LabOS/releases
agent | ai-research | automated-science | codex | deep-learning | deepseek | experiment-management | fastapi | llm | machine-learning | open-source | python | reinforcement-learning | research-automation | research-tools | scientific-computing