
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
Aurora UI is a cinematic Jellyfin frontend for self-hosted media libraries. It keeps Jellyfin as the source of truth while offering a more polished browsing and playback experience with featured content, continue watching, richer detail views, favorites, collections, and embedded playback.
Built with TanStack Start and React, Aurora is designed for home servers and simple deployments. It can be configured through an in-app onboarding flow, persists local settings to SQLite, and does not require an external database.
3000/data/data as a volume for persistent app stateAurora stores connection details and local app configuration in a SQLite database under /data/aurora.sqlite by default.
Run Aurora UI and complete setup in the browser:
bashdocker run --rm -p 3000:3000 \ -v aurora-data:/data \ your-dockerhub-namespace/aurora-ui:latest
Then open http://localhost:3000 and connect Aurora to your Jellyfin server.
If you prefer to skip onboarding, provide your Jellyfin settings as environment variables:
bashdocker run --rm -p 3000:3000 \ -v aurora-data:/data \ -e JELLYFIN_URL=http://your-jellyfin:8096 \ -e JELLYFIN_API_KEY=your_api_key \ -e JELLYFIN_USER_ID=your_user_id \ -e JELLYFIN_USERNAME=your_username \ -e JELLYFIN_PASSWORD=your_password \ your-dockerhub-namespace/aurora-ui:latest
Supported runtime environment variables:
PORT - container web port, defaults to 3000HOST - ***d address, defaults to 0.0.0.0AURORA_DATA_DIR - data directory, defaults to /dataJELLYFIN_URLJELLYFIN_API_KEYJELLYFIN_USER_IDJELLYFIN_USERNAMEJELLYFIN_PASSWORDAurora UI is a good fit if you want:
Source code, releases, and documentation live in the Aurora UI repository.
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
来自真实用户的反馈,见证轩辕镜像的优质服务