ningbainb/deepseek-harness-desktop

Open-source Windows desktop client and GUI for DeepSeek Harness — zero-setup installer with Codex, plugins, skills, SSH, mobile remote access, and 11 skins.

DeepSeek Harness Desktop – What It Is

DeepSeek Harness Desktop is an open‑source, cross‑platform desktop application that bundles the DeepSeek AI‑coding runtime (DSH) with a full‑featured IDE‑like interface. It lets you chat with large language models, run code‑editing tools, manage Git repositories, and automate tasks – all from a native Windows, macOS, or Linux client.

Key Capabilities

Feature What It Does
AI‑powered coding assistant Chat with DeepSeek (and other) LLMs, get code suggestions, refactorings, and explanations.
Integrated file explorer & editor Browse project files, preview Markdown/HTML/PDF/Office, edit code, and see diffs.
Git/SCM support Visual branch graph, stage/unstage/discard changes, commit history, and remote operations.
Skills & plugin ecosystem Install community‑made Skills (pre‑built toolkits) and plugins directly from the built‑in marketplace.
Agent‑based task automation Define multi‑step workflows; the desktop can dispatch subtasks to “assistant agents” and track results on a Kanban board.
Remote development SSH, SFTP, port‑forwarding, web terminal, and even phone‑based remote control via QR code.
Desktop‑only niceties Themes/skins, a “desktop pet” mascot, tray‑icon/minimize‑to‑tray, and customizable window layouts.
Usage dashboard Real‑time token counts, latency, cache hit‑rate, and cost tracking for each model.
Privacy‑first defaults No telemetry unless enabled; local storage of credentials, no upload of conversation content.

Platforms & Packaging

  • Windows 10/11 x64 – installer includes Node.js, the DSH runtime, Git, and required native binaries.
  • macOS Apple Silicon (arm64) – Preview – distributed as a signed DMG/ZIP (not notarized).
  • Linux x64 – Preview – available as AppImage and DEB packages; requires system‑installed Git.

All builds are released under the permissive BSD‑3‑Clause license.

How It Works

  1. Runtime – The app ships the official @deepseek-ai/dsh runtime (currently 0.2.0‑rc.2).
  2. Web UI – A bundled web UI (the “Harness Surface”) runs inside an Electron‑style window, providing the chat, file explorer, and plugin UI.
  3. Desktop Host – A thin native host manages the runtime, installs plugins, handles updates, and isolates the web view from the OS.
  4. Extensions – Users can add Skills (project‑level, DSH‑bundle, or community‑provided) and third‑party plugins that expose new tools to the AI.
  5. Automation – Tasks are represented as Kanban cards; when executed, the desktop launches a DSH Agent session, records the run, and stores evidence for later review.

Who Might Use It?

  • Developers who want an “AI‑first” IDE without configuring Node, Python, or Docker manually.
  • Teams that need a shared AI‑coding environment with Git integration and remote‑SSH access.
  • Power users interested in chaining LLM‑driven agents, custom skills, or automating repetitive dev‑ops work.

Getting Started

  1. Download the appropriate installer from the Releases page.
  2. Run the installer – it sets up the DSH runtime and a bundled Git client (Windows only).
  3. Launch DeepSeek Harness Desktop; the first run will guide you through model authentication (e.g., DeepSeek bai login).
  4. Explore the built‑in Skills marketplace or add your own plugins via the Extensions pane.
  5. Use the Task Board to create, schedule, or run automated workflows.

Community & Support

  • Official QQ group (ID 1105158177) for usage tips, plugin sharing, and troubleshooting.
  • The repository includes extensive docs: installation guides, upgrade/rollback procedures, privacy policy, and changelogs.
  • Contributions are welcome under the BSD‑3‑Clause license.

In short: DeepSeek Harness Desktop turns the DeepSeek AI‑coding platform into a self‑contained desktop workbench, offering code‑centric LLM chat, file management, Git, remote dev, and extensible automation—all while keeping data local and respecting user privacy.

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