Uni-Lab-OS

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Uni-Lab-OS is a platform for laboratory automation, designed to connect and control various experimental equipment, enabling automation and standardization of experimental workflows.

Key Features

• Multi-device integration management
• Automated experimental workflows
• Cloud connectivity capabilities
• Flexible configuration system
• Support for multiple experimental protocols

Documentation

Detailed documentation can be found at:

• Online Documentation

Quick Start

1. Setup Conda Environment

Uni-Lab-OS recommends using mamba for environment management:

# Create new environment
mamba create -n unilab python=3.11.11
mamba activate unilab
mamba install -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge

2. Install Dev Uni-Lab-OS

# Clone the repository
git clone https://github.com/deepmodeling/Uni-Lab-OS.git
cd Uni-Lab-OS

# Install Uni-Lab-OS
pip install .

3. Start Uni-Lab System

Please refer to Documentation - Boot Examples

4. Best Practice

See Best Practice Guide

Message Format

Uni-Lab-OS uses pre-built unilabos_msgs for system communication. You can find the built versions on the GitHub Releases page.

Citation

If you use Uni-Lab-OS in academic research, please cite:

@article{gao2025unilabos,
    title = {UniLabOS: An AI-Native Operating System for Autonomous Laboratories},
    doi = {10.48550/arXiv.2512.21766},
    publisher = {arXiv},
    author = {Gao, Jing and Chang, Junhan and Que, Haohui and Xiong, Yanfei and
              Zhang, Shixiang and Qi, Xianwei and Liu, Zhen and Wang, Jun-Jie and
              Ding, Qianjun and Li, Xinyu and Pan, Ziwei and Xie, Qiming and
              Yan, Zhuang and Yan, Junchi and Zhang, Linfeng},
    year = {2025}
}

License

This project uses a dual licensing structure:

• Main Framework: GPL-3.0 - see LICENSE
• Device Drivers (unilabos/devices/): DP Technology Proprietary License

See NOTICE for complete licensing details.

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Contact Us

• GitHub Issues: https://github.com/deepmodeling/Uni-Lab-OS/issues