A zero-setup, cross-platform desktop client for DeepSeek Harness — download once and open a ready-to-use local AI workspace.
DSH integration
Native runtime
Author-claimed
Safety audit
Unaudited
Last verified
2026-09-01
License
Apache-2.0
01What can it help you accomplish?
Run DeepSeek Harness as a desktop workbench without setting up a Node.js environment
A native, ready-to-run local AI workspace — DeepSeek Harness installed with the bundled Node.js runtime and local DSH runtime
DeepSeek Harness users who want a zero-setup desktop client across Windows, macOS and Linux
02How to install into DeepSeek Harness
Prerequisites
- No separate Node.js install needed — the installer bundles the Node.js runtime and local DSH runtime
- A desktop OS; the README shows packages for Windows x64, macOS (Apple Silicon / Intel) and Linux (x64 / ARM64)
Installation steps
- 01
Get the current installer from GitHub Releases.
- 02
Install it, open it, then start working — you do not need to prepare a Node.js environment or launch DSH from a terminal.
Verify the integration
- Launch DSH Codex Desktop and confirm DeepSeek Harness opens as a ready-to-run local AI workspace.
Rollback
- Uninstall the DSH Codex Desktop application to remove the bundled runtime from your machine.
03DSH integration and capability boundaries
Native desktop distribution of DeepSeek Harness — bundles the Node.js runtime and local DSH runtime into a ready-to-run desktop workbench
Bundled ready-to-run desktop workspace
Installer download (Windows .exe / .zip, macOS, Linux)→Native DeepSeek Harness desktop workbench with bundled Node.js and local DSH runtime
Installs a Node.js runtime and local DSH runtime onto the user's machineZero-setup launch
User opens the installed desktop app→Local AI workspace ready without terminal or environment preparation
04Who is it for? When not to use it?
Good for
- DeepSeek Harness users who want a zero-setup desktop client across Windows, macOS and Linux
Not for
- DSH Codex Desktop is a community-maintained desktop distribution of DeepSeek Harness and is not an official DeepSeek AI product.
05Compatibility, maintenance and safety notes
- DSH Codex Desktop is a community-maintained desktop distribution of DeepSeek Harness and is not an official DeepSeek AI product.
- DSH Codex Desktop is a desktop distribution and requires running the installer and opening the app; it is not a terminal/CLI-only or headless workflow.
Apache-2.0 · actively maintained (latest release v1.0.43, 2026-09-01)
06Frequently asked questions
What is DSH Codex Desktop?
It is a community-maintained desktop distribution of DeepSeek Harness — not an official DeepSeek AI product — that packages the Node.js runtime and local DSH runtime into a native, ready-to-run desktop workbench.
Do I need to install Node.js before using it?
No. The installer includes the required Node.js runtime and local DSH runtime, so you do not need to prepare a Node.js environment or launch DSH from a terminal.
Which platforms are supported?
The README lists packages for Windows x64, macOS (Apple Silicon / Intel) and Linux (x64 / ARM64).
07Related DSH workflows
dsh-plugin-radar
by adamplatin123
An ecosystem radar for the DeepSeek Harness (dsh) plugin community that auto-discovers thousands of candidate plugins and runs continuous k8s-level validation, publishing the results as a browsable plugin catalog.
picgo-core
by picgo
:zap:The ultimate image uploading engine. Both CLI & API supports.
dsh-infinite-gen-3
by minglink
Armor-breaking plugin for DeepSeek that stabilizes jailbreak behavior ('Infinite Gen 3') — star the repo to support.
helloagents
by hellowind777
Autonomous AI companion that doesn't just analyze problems — it keeps working until the implementation is built and verified.
08Data and sources
into a native, ready-to-run desktop workbench.
DSH Codex Desktop is a community-maintained desktop distribution of DeepSeek Harness. It is not an official DeepSeek AI…
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-09-01. Found an error? Submit a correction.
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