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GanyuanRan/Autoloom

AI辅助编程

Autoloom 是一款面向 AI 编码代理的治理工程桌面客户端,将 Aegis 的治理方法集成到编码运行时,帮助用户在变更前进行必要性、复杂性、因果诊断和交付审查,并保留执行证据。适用于希望减少监督负担、提升 AI 开发可靠性的开发者。

AI 中文解读 · 根据仓库描述与 README 生成 · 2026/10/16 17:16:22 · 查看原文

值得看JavaScript应用与服务
累计 Stars
51
当前热度
未达当前门槛
仓库创建时间
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选用指南

AI 根据 README 整理 · 2026/10/16 17:16:22

使用方式

通过 Windows x64 安装程序安装后,在设置中添加模型提供商和 API 密钥,选择默认模型,然后打开本地项目或通过 SSH 连接 Linux x64 项目进行使用。

查看 README 依据
For new releases and repository activity, select **Watch → All Activity** at the top right of this repository. You can adjust [notification delivery](https://docs.github.com/en/subscriptions-and-notifications/get-started/configuring-notifications) in GitHub settings. Use Star to bookmark and show support; use Watch to subscribe to notifications. ## Get started 1. Go to [Releases](https://github.com/GanyuanRan/Autoloom/releases) and download the Windows x64 installer, `Autoloom-<version>-win-x64.exe`.
2. Install and open Autoloom. Add your model provider and API key in settings, then select a default model. 3. Open a test project you have backed up and start with a clearly scoped change. The client is free; your chosen provider bills model usage. The workspace supports local projects and Linux x64 projects connected over SSH, with project files, code diffs, command logs, previews, and docked interactive terminals. Remote environment requirements are listed in the Beta notes below.
部署要求

需要 Windows x64 系统;SSH 远程项目需要 Linux x64 环境、Node.js 22.19 或更高版本,以及可用的 SSH 连接;受限命令需要 Bubblewrap 沙箱后端。

查看 README 依据
- The current release is a Windows x64 test build. Data formats may change during Beta; back up important projects and task records before upgrading. Incompatible versions will provide manual upgrade instructions. - SSH remote projects support Linux x64 and require a working SSH connection and Node.js 22.x, version 22.19 or later. Restricted commands also require a working Bubblewrap sandbox backend.
已知限制

当前为 Beta 测试版,数据格式可能变化;macOS 和 Linux 桌面客户端尚未发布;客户端源代码目前不公开。

查看 README 依据
**macOS and Linux desktop clients are planned**, so you can use Autoloom on your preferred operating system. Windows x64 is currently available; progress on macOS and Linux will be announced in this repository. ## Follow what comes next If you want AI development to include this kind of engineering judgment, **[⭐ Star Autoloom](https://github.com/GanyuanRan/Autoloom#top)** to support its continued development. Follow the link to the top of the repository, then click **Star** in the upper-right corner.
Autoloom’s client source code is not currently public. As the project evolves, we’ll evaluate what to open source and how, taking community feedback and sustainable maintenance into account. The current closed-source approach is not a commitment to staying closed source permanently. We’ll share concrete plans in this repository when they’re ready. <details> <summary>Beta notes and validation scope</summary>
- The current release is a Windows x64 test build. Data formats may change during Beta; back up important projects and task records before upgrading. Incompatible versions will provide manual upgrade instructions. - SSH remote projects support Linux x64 and require a working SSH connection and Node.js 22.x, version 22.19 or later. Restricted commands also require a working Bubblewrap sandbox backend.

README

正在加载 README…

收录信息

仓库创建时间
2026/9/30 20:40:15
首次达标收录
2026/10/16 17:11:27
统计更新时间
2026/10/22 19:15:48

按创建时长与累计 Stars 判断等级。首次达标收录后,即使未达当前门槛仍保留;累计 Stars 和仓库状态会定期更新。确认只有 README 及辅助文件的仓库会停止公开。

模型评估

值得看加权总分 3.9 / 5

新颖度
3.9
实用价值
4.2
成熟度
3.9
实质含量
3.4

由 Jev 模型根据仓库描述与 README 评估,2026/10/16 17:11:27 生成。评分仅供参考,不是代码、安全或许可证审查;热度等级另按创建时长与累计 Stars 计算。

仓库信息

最近推送
2026/10/20 17:30:02
许可证标识
NOASSERTION
Fork 数
3
当前状态
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