[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-72447":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":13,"stars30d":17,"stars90d":15,"forks30d":15,"starsTrendScore":18,"compositeScore":19,"rankGlobal":9,"rankLanguage":9,"license":20,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":23,"hasPages":21,"topics":24,"createdAt":9,"pushedAt":9,"updatedAt":25,"readmeContent":26,"aiSummary":27,"trendingCount":15,"starSnapshotCount":15,"syncStatus":28,"lastSyncTime":29,"discoverSource":30},72447,"xiaomi-miloco","XiaoMi\u002Fxiaomi-miloco","XiaoMi","Xiaomi Miloco",null,"Python",2611,204,15,59,0,11,45,33,90.94,"Other",false,"main",true,[],"2026-06-12 04:01:05","# Xiaomi Miloco\n\n**Xiaomi Local Copilot** is a future exploration solution for smart homes. Using Xiaomi Home cameras as the source of visual information and a self-developed LLM as its core, it connects all IoT devices throughout the house. Based on the development paradigm of LLM, it enables users to define various family needs and rules in natural language, achieving broader and more creative smart device integration.\n\n\u003Cdiv align=\"center\">\n\nEnglish | [简体中文](README.zh_Hans.md)\n\n\u003C\u002Fdiv>\n\n## News\n\n- [2025-11] Xiaomi Miloco Framework Open Source\n\n## Key Features\n\n1. New Interaction Paradigm: Based on the development paradigm of LLM, rule-setting and complex device command control can be completed through natural language interaction.\n2. On-Device LLM: The home scene tasks are split into two stages: planning and visual understanding. It provides Xiaomi's self-developed on-device model[Xiaomi MiMo-VL-Miloco-7B](https:\u002F\u002Fgithub.com\u002FXiaoMi\u002Fxiaomi-mimo-vl-miloco)to realize on-device video understanding and ensure family privacy and security.\n3. New Use for Visual Data: Using camera data streams as a source of perceptual information, the LLM is used to analyze various home scene events contained in the visual data to respond to user queries.\n4. Xiaomi Home Ecosystem: It connects with the Xiaomi Home ecosystem, supports the retrieval and execution of Mi Home devices and scenes, and supports sending customized content for Xiao Home notifications.\n\n    \u003Cimg src=\"assets\u002Fimages\u002Fai_center.jpg\" width=\"60%\" \u002F>\n\n## Quick Start\n\n### System Requirements\n\n- **Hardware Requirements**\n```Plain Text\nCPU: x64 architecture\nGraphics Card: NVIDIA 30 series and above, 8GB VRAM minimum (recommended 12GB and above)\nStorage: Recommended 16GB or more available space (for local model storage)\n```\n\n- **Software Requirements**\n```Plain Text\nOperating System:\n  - Linux: x64 architecture, recommended Ubuntu 22.04 and above LTS versions\n  - Windows: x64 architecture, recommended Windows 10 and above, requires WSL2 support\n  - macOS: Not currently supported\nDocker: Version 20.10 and above, requires docker compose support\nNVIDIA Driver: NVIDIA driver with CUDA support\nNVIDIA Container Toolkit: For Docker GPU support\n```\n\n### Install\n\n> **Note**: Please ensure your system meets the above hardware and software requirements. Windows systems need to enter the WSL environment.\n\n**Install with Docker**  \nOne-click installation via command line\n```bash\nbash -c \"$(wget -qO- https:\u002F\u002Fxiaomi-miloco.cnbj1.mi-fds.com\u002Fxiaomi-miloco\u002Finstall.sh)\"\n```\nOr download the source code first, then execute the one-click installation script:\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002FXiaoMi\u002Fxiaomi-miloco.git\n\nbash scripts\u002Finstall.sh\n```\nFor detailed installation steps, please refer to the [Docker Deployment Documentation](docs\u002Fenvironment-setup.md).\n\n**Install with source code**  \nFor source code installation steps, please refer to the [Development Guide](docs\u002Fdevelopment\u002Fdeveloper-setup.md).\n\n## Usage Documentation\n\nPlease refer to the [Usage Documentation](docs\u002Fusage\u002FREADME.md).\n\n## Contributing\n\nPlease refer to the [Contributing Guide](CONTRIBUTING.md).\n\n## License\n\nFor license details, please see [LICENSE.md](LICENSE.md).\n\n**Important Notice**: This project is limited to non-commercial use only. Without written authorization from Xiaomi Corporation, this project may not be used for developing applications, web services, or other forms of software.\n\n## Security Issues\n\nIf you discover potential security issues in this project, or believe you may have found a security issue, please notify the [Miloco Team](xiaomi-miloco@xiaomi.com) via our vulnerability reporting email. Please do not create public GitHub Issues.\n\n## Contact Us\n\n### Issue Reporting\n\nFor issue reporting, please participate through the following methods:\n- Submit a [GitHub Issue](https:\u002F\u002Fgithub.com\u002FXiaoMi\u002Fxiaomi-miloco\u002Fissues\u002Fnew\u002F)\n\n### Technical Discussion\n\n- GitHub [Discussions](https:\u002F\u002Fgithub.com\u002FXiaoMi\u002Fxiaomi-miloco\u002Fdiscussions\u002F)\n- Project Discussion Group (Lark):\n\n  \u003Cimg src=\"assets\u002Fimages\u002Fmiloco_feishu.jpeg\" width=\"45%\" \u002F>\n\n\n\n### Join Us\n\nThe **Xiaomi Miloco** team is hiring. Send your resume to `xiaomi-miloco@xiaomi.com`, and it will be delivered directly to the project lead.\n\n## Acknowledgments\n\nThank you to the original team members who worked hard for Miloco：zhaoy、yangyongjie、xx、Changyu、yyk、junhui、郭兴宝、47、afei。\n\nYour passion and talent are the fundamental driving force behind Miloco's continuous innovation and progress.\n\nSpecial thanks to:\n- The [llama.cpp](https:\u002F\u002Fgithub.com\u002Fggml-org\u002Fllama.cpp) open source project for providing inference backend capabilities\n","Xiaomi Miloco 是一款面向智能家居的未来探索解决方案。它以小米家庭摄像头作为视觉信息源，结合自主研发的大规模语言模型（LLM）为核心，连接家中的所有物联网设备。基于LLM的发展范式，用户可以通过自然语言定义各种家庭需求和规则，实现更广泛、更具创意的智能设备集成。其主要特点包括：通过自然语言交互完成规则设置与复杂设备控制；提供自研的设备端模型，实现本地视频理解，保障家庭隐私与安全；利用摄像头数据流分析家庭场景事件，响应用户查询；并与小米家居生态系统无缝对接，支持米家设备及场景的调用与执行。适用于希望提升家居智能化水平，并注重隐私保护的家庭用户。",2,"2026-06-11 03:42:06","high_star"]