
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。
Note: This is an unofficial build and comes with no warranty of any kind. By using this image you also agree to Spide Network's terms and conditions.
The aim is to containerise the standard Linux CLI version of the ***ary into a dockerised container.
https://github.com/XternA/spide-network
This section only applies to running on ARM platforms as the image and its underlying ***ary are originally compiled for x86_64 (64-Bit) Intel/AMD-based architectures.
To run the docker image on ARM platforms such as Raspberry Pi, it needs to run on an emulation layer.
yamldocker run --rm --privileged aptman/qus -s -- -p x86_64
However, on reboot, the emulation must be re-enabled again. Therefore, cron can be used so that the cron scheduler will start the emulation on reboot.
yamlsudo crontab -e
Then add the entry and that's it.
yaml@reboot docker run --privileged --rm tonistiigi/binfmt --install all
or via (only adding x86_64)
yaml@reboot docker run --rm --privileged aptman/qus -s -- -p x86_64
The non-native docker image will now run on ARM platforms such as arm64, arm64v8, arm32v7, aarch64 which previously wouldn't without first enabling the emulation layer.
Docker Compose
Via compose.yml
version: '3' services: spide: container_name: spide image: xterna/spide-network restart: unless-stopped platform: linux/amd64 dns: - 1.1.1.1 - 8.8.8.8
Docker run
docker run -d --restart unless-stopped --name spide xterna/spide-network
This will start the application in the background. The alias assigned is spide.
The device running the Spide application will need to be registered in the dashboard for the device to be linked to your earning account.
To get the device key, you need to run the docker logs command to find the key for registering.
docker logs spide
2024/02/07 00:34:47 Build version: 2022-07-12_11:08:44AM-LINUX 2024/02/07 00:34:47 ENV: prod 2024/02/07 00:34:47 Device Key: c253589lk23j523jkhasf904124kj1as8512972215kljasd04asd9085124as3r 2024/02/07 00:34:48 get url https://config-alpha-01.sgp1.digitaloceanspaces.com/client_config_prod_v0.1.json content length 517 2024/02/07 00:34:48 Client version: 14 2024/02/07 00:34:48 connect to server 159.223.219.217:50001 2024/02/07 00:34:48 Status: OK
If for any reason you can't locate the key, stop the container and start it again. Give it a second or two before fetching the logs again.
docker stop spide; docker start spide
Register for an account if you haven't here. You will benefit from $5 using my link to sign up.
Once you have an account head over to the dashboard, locate Register Device to register.
!https://github.com/XternA/spide-network/assets/9136075/834613f2-4eb6-45d7-8789-b84a197a8dda
Give it a name for easy recognition and put in the device key that was obtained from the logs earlier.
***s are warmly welcomed no matter how small and thank you very much. 😌
bc1qq993w3mxsf5aph5c362wjv3zaegk37tcvw7rl40x2601B9940F9594810DEDC44015491f0f9D6Dd1cAbnb1dj3l3fp24z05vtwtjpaatjyz9sll4elu9lkjww0x2601B9940F9594810DEDC44015491f0f9D6Dd1cAAp5aiAbnsLtR2XVJB3sp37qdNP5VfqydAgUThvdEiL5i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