
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。
ejabberd is an open-source, robust, scalable and extensible realtime platform built using Erlang/OTP, that includes XMPP Server, MQTT Broker and SIP Service.
Check the features in ejabberd.im, ejabberd Docs, ejabberd at ProcessOne, and a list of supported protocols and XEPs.
ejabberd/ecsThis ejabberd/ecs Docker image is built for stable ejabberd releases using
https://github.com/processone/docker-ejabberd/tree/master/ecs.
It's based in Alpine Linux, and is aimed at providing a simple image to setup and configure.
Please report problems related to this ejabberd/ecs image packaging in
https://github.com/processone/docker-ejabberd/issues,
and general ejabberd problems in
https://github.com/processone/ejabberd/issues.
Please check https://github.com/processone/docker-ejabberd/tree/master/ecs#readme
This ejabberd/ecs docker image is built for the linux/amd64 architecture.
There is another container image published in https://github.com/processone/ejabberd/pkgs/container/ejabberd, that you can download from the GitHub Container Registry.
Its usage is similar to this ejabberd/ecs image, with some benefits and changes worth noting:
linux/amd64 and linux/arm64 architecturesmaster branch, in addition to the stable ejabberd releasesejabberd/ecs/opt/ejabberd/ instead of /home/ejabberd/See its documentation in https://github.com/processone/ejabberd/blob/master/CONTAINER.md.
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。
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