Apache-2.0 社区桌面工作台，把 DeepSeek Harness 作为本地运行时打包进应用——在 macOS、Windows、Linux 上让文件、终端、网页工具与插件发现伴随会话使用。
DSH 适配
原生运行时
作者声明
安全审计
未审计
最后核验
2026-08-21
许可证
Apache-2.0
01它能帮你完成什么？
Run DeepSeek Harness agentic work in a native desktop workspace
A single local-first app combining conversations, project files, terminals, web tools and native desktop actions
Developers and agentic-work practitioners who use DeepSeek Harness and want a dedicated desktop workspace instead of a bare conversation window
Keep files, terminals, web tools and plugin discovery beside the active conversation
Independent right and bottom workspaces for understanding, changing and validating a project next to the DeepSeek Harness conversation
Users who want project tooling — files, terminals, web tools, plugin discovery — alongside their DeepSeek Harness sessions without switching apps
02如何接入 DeepSeek Harness？
前置条件
- A supported desktop platform: macOS (Apple Silicon or Intel), Windows x64, or Linux x64 (Debian/Ubuntu, Fedora/RHEL, or AppImage)
- Build-from-source only: Git with the `vendor/deepseek-harness` submodule checked out, Node.js 24 or newer, pnpm 11.7.0
安装步骤
- 01
Download the installer for your platform only from the official GitHub Releases page: `.dmg` (macOS arm64/x64), `.exe` (Windows x64), or `.deb` / `.rpm` / `.AppImage` (Linux x64); checksums are in SHA256SUMS
- 02
macOS: open the `.dmg`, drag `Minke.app` into the Applications folder, remove the quarantine attribute with `xattr -dr com.apple.quarantine "/Applications/Minke.app"` (pre-release builds are not notarized), then open Minke
- 03
Windows: run the `.exe` installer and follow the on-screen instructions; if a reputation-based warning appears, confirm the installer came from the official Releases page before continuing
- 04
Linux: install the downloaded package, e.g. `sudo apt install "/path/to/minke-package.deb"` or `sudo dnf install "/path/to/minke-package.rpm"`
- 05
From source: install repository dependencies with pnpm, run `pnpm run harness:stage` to install/build the pinned DeepSeek Harness source and stage the desktop runtime, then `pnpm start` for development mode
验证接入成功
作者未说明
03DSH 适配与能力边界
Native desktop workspace that bundles and runs DeepSeek Harness locally — conversations, files, terminals and web tools in one app
Agentic workspace panels
an active DeepSeek Harness conversation→independent right and bottom workspaces for files, terminals, web tools and plugin discovery beside the conversation
Local-first data boundary
application state, browser session data and desktop preferences→all data kept on your machine, with desktop preferences under `~/.minke` as one clear data boundary
writes application state, browser session data and desktop preferences under `~/.minke` on your machineNative desktop experience
daily usage of the workspace→native menus, configurable shortcuts, session log export, synchronized themes, and English and Chinese UI
session log export writes log files to diskCross-platform releases
macOS, Windows or Linux x64 hosts→`.dmg` (arm64/x64), `.exe`, `.deb`, `.rpm` and portable `.AppImage` packages from automated releases
04适合谁？何时不该用？
适合
- Developers and agentic-work practitioners who use DeepSeek Harness and want a dedicated desktop workspace instead of a bare conversation window
- Users who want project tooling — files, terminals, web tools, plugin discovery — alongside their DeepSeek Harness sessions without switching apps
不适合
- Minke is under active development: features, packaging and the local data schema may change as the project evolves. It is an independent community project, not an official DeepSeek product.
- Current macOS pre-release builds are not notarized; installation requires removing the quarantine attribute, which bypasses a macOS security check. Only do this for Minke.app downloaded from the official Releases page.
05兼容性、维护与安全提示
- Minke is under active development: features, packaging and the local data schema may change as the project evolves. It is an independent community project, not an official DeepSeek product.
- Current macOS pre-release builds are not notarized; installation requires removing the quarantine attribute, which bypasses a macOS security check. Only do this for Minke.app downloaded from the official Releases page.
- Building from source must happen on the same operating system and CPU architecture as the target package; cross-platform packaging from a single host is not supported.
Apache-2.0 · actively maintained (v0.1.0 released 2026-08-18, repo pushed 2026-08-19)
06常见问题
Minke 如何接入 DeepSeek Harness？
Minke 本身就是 DeepSeek Harness 的原生桌面工作台：它把 DeepSeek Harness 带到桌面并在本地运行，形成专注的智能体工作空间。无需配置 MCP——应用自身就是围绕 Harness 运行时的桌面外壳。
Minke 的数据存放在哪里？
Minke 采用本地优先设计：应用状态和浏览器会话数据保存在你的机器上，桌面偏好存放在 `~/.minke`，形成清晰、可预测的单一数据边界。
Minke 支持哪些平台？
macOS（Apple Silicon 与 Intel 的 `.dmg`）、Windows x64（`.exe`）、Linux x64（Debian/Ubuntu 的 `.deb`、Fedora/RHEL 的 `.rpm`，或便携版 `.AppImage`）。自动化发布覆盖三大桌面平台，并提供 SHA256SUMS 校验文件。
为什么 macOS 安装需要移除隔离属性？
当前预发布版本尚未公证，README 指引运行 `xattr -dr com.apple.quarantine "/Applications/Minke.app"`，或使用「系统设置 → 隐私与安全性」中的 Open Anyway 流程。该操作会绕过 macOS 安全检查，仅建议对官方 Releases 页面下载的安装包执行。
Minke 是 DeepSeek 官方产品吗？
不是。Minke 是独立的社区项目，并非 DeepSeek 官方产品，且正处于积极开发中——功能、打包方式和本地数据结构可能随项目演进而变化。
07相关的 DSH 工作流
open-design
作者 nexu-io
DeepSeek Harness 的开源 AI 设计插件，本地优先桌面应用，让编码智能体变身设计引擎，生成原型、落地页、幻灯片、图片与视频，支持多种格式导出。
picgo
作者 molunerfinn
PicGo：面向高效创作者的图片上传神器，支持 Obsidian、Typora、VS Code 等编辑器，以及 S3、GitHub、Cloudflare R2、Imgur、阿里云 OSS 等 60+ 图床，粘贴即上传。
dsh-desktop
作者 anywhere-labs
为 DeepSeek Harness (DSH) 插件生态打造的现代化桌面端解决方案。万物皆「插件」，桌面本身也是「插件」。
openbiliclaw
作者 whiteguo233
本地私有、开源的自进化跨平台 AI 内容发现 Agent：先理解你，再主动从 B站、小红书、抖音、YouTube、X、知乎、Reddit、微博等平台与开放 Web 寻找内容。（支持 deepseek harness 插件） | Local-first open-source cross-platform AI content discovery agent: understands you, then proactively finds content across Bilibili, Xiaohongshu, Douyin, YouTube, X, Zhihu, Reddit, Weibo and the open web.（support deepseek harness plugin）
08数据与来源
Minke brings [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness) to the desktop as a focused, local-firs…
<strong>A native desktop workspace for DeepSeek Harness</strong>
页面基于项目公开文档、仓库元数据和 DSH Plugins 的结构化解析生成；最后核验于 2026-08-21。发现错误？提交更正。
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