
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。
Tahoe-LAFS is a Free and Open decentralized cloud storage system. It distributes your data across multiple servers. Even if some of the servers fail or are taken over by an ***er, the entire file store continues to function correctly, preserving your privacy and security.
For full documentation, please see http://tahoe-lafs.readthedocs.io/en/latest/ .
|readthedocs| |travis| |coveralls|
Pre-packaged versions are available for several operating systems:
apt-get install tahoe-lafsOSPackages_ for detailsMac_ and Windows installers are in development.If you don't use an OS package, you'll need Python 2.7 and pip. You may
also need a C compiler, and the development headers for python, libffi, and
OpenSSL. On a Debian-like system, use apt-get install build-essential python-dev libffi-dev libssl-dev python-virtualenv. On Windows, see
<docs/windows.rst>.
Then, to install the most recent release, just run:
pip install tahoe-lafsTo install from source (either so you can hack on it, or just to run pre-release code), you should create a virtualenv and install into that:
git clone https://github.com/tahoe-lafs/tahoe-lafs.gitcd tahoe-lafsvirtualenv venvvenv/***/pip install --editable .venv/***/tahoe --versionTo run the unit test suite:
toxFor more detailed instructions, read <docs/INSTALL.rst>_ .
Once tahoe --version works, see <docs/running.rst>_ to learn how to set
up your first Tahoe-LAFS node.
Copyright 2006-2016 The Tahoe-LAFS Software Foundation
You may use this package under the GNU General Public License, version 2 or,
at your option, any later version. You may use this package under the
Transitive Grace Period Public Licence, version 1.0, or at your option, any
later version. (You may choose to use this package under the terms of either
licence, at your option.) See the file COPYING.GPL_ for the terms of the
GNU General Public License, version 2. See the file COPYING.TGPPL_ for
the terms of the Transitive Grace Period Public Licence, version 1.0.
See TGPPL.PDF_ for why the TGPPL exists, graphically illustrated on three
slides.
.. _OSPackages: [] .. _Mac: docs/OS-X.rst .. _pip: https://pip.pypa.io/en/stable/installing/ .. _COPYING.GPL: https://github.com/tahoe-lafs/tahoe-lafs/blob/master/COPYING.GPL .. _COPYING.TGPPL: https://github.com/tahoe-lafs/tahoe-lafs/blob/master/COPYING.TGPPL.rst .. _TGPPL.PDF: []
.. |readthedocs| image:: http://readthedocs.org/projects/tahoe-lafs/badge/?version=latest :alt: documentation status :target: http://tahoe-lafs.readthedocs.io/en/latest/?badge=latest
.. |travis| image:: https://travis-ci.org/tahoe-lafs/tahoe-lafs.png?branch=master :alt: build status :target: https://travis-ci.org/tahoe-lafs/tahoe-lafs
.. |coveralls| image:: https://coveralls.io/repos/tahoe-lafs/tahoe-lafs/badge.png?branch=master :alt: test coverage percentage :target: https://coveralls.io/r/tahoe-lafs/tahoe-lafs?branch=master
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