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**English** | [中文](README_zh.md)
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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.
## 🏆 Competition
Join the [Intelligent Organic Chemistry Synthesis Competition](https://bohrium.dp.tech/competitions/1451645258) to explore automated synthesis with Uni-Lab-OS!
## Key Features
- Multi-device integration management
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Detailed documentation can be found at:
- [Online Documentation](https://xuwznln.github.io/Uni-Lab-OS-Doc/)
- [Online Documentation](https://deepmodeling.github.io/Uni-Lab-OS/)
## Quick Start
Uni-Lab-OS recommends using `mamba` for environment management. Choose the appropriate environment file for your operating system:
1. Setup Conda Environment
Uni-Lab-OS recommends using `mamba` for environment management:
```bash
# Create new environment
@@ -44,28 +42,54 @@ mamba activate unilab
mamba install -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
```
## Install Dev Uni-Lab-OS
2. Install Dev Uni-Lab-OS
```bash
# Clone the repository
git clone https://github.com/dptech-corp/Uni-Lab-OS.git
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:
3. Start Uni-Lab System
Please refer to [Documentation - Boot Examples](https://xuwznln.github.io/Uni-Lab-OS-Doc/boot_examples/index.html)
Please refer to [Documentation - Boot Examples](https://deepmodeling.github.io/Uni-Lab-OS/boot_examples/index.html)
4. Best Practice
See [Best Practice Guide](https://deepmodeling.github.io/Uni-Lab-OS/user_guide/best_practice.html)
## Message Format
Uni-Lab-OS uses pre-built `unilabos_msgs` for system communication. You can find the built versions on the [GitHub Releases](https://github.com/dptech-corp/Uni-Lab-OS/releases) page.
Uni-Lab-OS uses pre-built `unilabos_msgs` for system communication. You can find the built versions on the [GitHub Releases](https://github.com/deepmodeling/Uni-Lab-OS/releases) page.
## Citation
If you use [Uni-Lab-OS](https://arxiv.org/abs/2512.21766) in academic research, please cite:
```bibtex
@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 is licensed under GPL-3.0 - see the [LICENSE](LICENSE) file for details.
This project uses a dual licensing structure:
- **Main Framework**: GPL-3.0 - see [LICENSE](LICENSE)
- **Device Drivers** (`unilabos/devices/`): DP Technology Proprietary License
See [NOTICE](NOTICE) for complete licensing details.
## Project Statistics
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## Contact Us
- GitHub Issues: [https://github.com/dptech-corp/Uni-Lab-OS/issues](https://github.com/dptech-corp/Uni-Lab-OS/issues)
- GitHub Issues: [https://github.com/deepmodeling/Uni-Lab-OS/issues](https://github.com/deepmodeling/Uni-Lab-OS/issues)