A DSH brand-customization plugin and Tauri-based desktop client that adds Jingyun Studio's membership, payments and compute-control commercialization backend to a DeepSeek Harness instance, so AI developers can monetize their agents in ~30 minutes.
DSH integration
Native runtime
Author-claimed
Safety audit
Unaudited
Last verified
2026-09-06
License
Not specified by the author
01What can it help you accomplish?
Turn an AI agent / skill / workflow into a tradable commercial product on DeepSeek Harness
A monetization-ready DSH client with membership, payments, subscriptions, compute control, asset distribution and private-domain operations wired in
AI developers and AI founders running a DeepSeek Harness (DSH) instance who want to ship their agents as paid products
Add Jingyun Studio's membership, payments and compute-control backend to an existing DSH instance
A DSH instance connected to Jingyun Studio's membership system, payment system and full commercialization capabilities
Developers who already run a DeepSeek Harness instance and want to monetize it without building their own backend
02How to install into DeepSeek Harness
Prerequisites
- Node.js >= 18.x (required)
- pnpm >= 8.x (required)
- Rust (stable) — only needed to compile the Tauri native shell for desktop packaging
- Python >= 3.8 — only needed for the GUI packaging console (optional)
Installation steps
- 01
$ npm install @jingyun-ai/jingyun-dsh
- 02
Copy packages/jingyun-dsh/jingyun-config.example.json to packages/jingyun-dsh/jingyun-config.json and configure your Jingyun Studio platform info
- 03
$ git clone <repo-url>
- 04
cd jingyun_dsh
- 05
pnpm install
- 06
pnpm build
- 07
pnpm start
Verify the integration
- Open http://localhost:3080 in a browser to use the DSH web service
03DSH integration and capability boundaries
DSH brand-customization plugin (npm package @jingyun-ai/jingyun-dsh installed into a running DSH instance and enabled in DSH config via jingyun-config.json)
Membership login & subscription
Compute credits & control
Plugin library
App marketplace
Artifact workbench
04Who is it for? When not to use it?
Good for
- AI developers and AI founders running a DeepSeek Harness (DSH) instance who want to ship their agents as paid products
- Developers who already run a DeepSeek Harness instance and want to monetize it without building their own backend
Not for
- The bundled plugin registry snapshot comes entirely from third-party open-source communities; the software only offers display and a one-click install channel and gives no warranty on the security, compliance or availability of third-party plugins — any risk from installing or using them is borne by the user.
05Compatibility, maintenance and safety notes
- The bundled plugin registry snapshot comes entirely from third-party open-source communities; the software only offers display and a one-click install channel and gives no warranty on the security, compliance or availability of third-party plugins — any risk from installing or using them is borne by the user.
- The portable runtime packages (Node.js / Python / Git) embedded when packaging the desktop client are large and are NOT included in the Git repository — you must obtain them from the community and place them under src-tauri/resources/vendor/.
readme_verified
06Frequently asked questions
How do I connect Jingyun DSH Client to my DeepSeek Harness instance?
If you already run a DSH instance, install the brand-customization plugin with `npm install @jingyun-ai/jingyun-dsh`, then copy packages/jingyun-dsh/jingyun-config.example.json to jingyun-config.json and set your Jingyun Studio platform info. The plugin then connects your DSH instance to Jingyun's membership, payment and commercialization capabilities.
Do I need to build my own membership and payment backend?
No. Jingyun DSH Client connects your DSH instance to Jingyun Studio's backend, which provides the membership system, subscription/pay-as-you-go/distribution models, payments and compute control. You only configure your tenant_host and api_url in jingyun-config.json.
Can I brand and package it as my own desktop client?
Yes. Clone the repo, run `pnpm install`, `pnpm build` and either `pnpm tauri:build` or the GUI packaging console (`run_pack.bat`) to produce a Windows desktop installer with your own brand name, logo and domain. A Rust toolchain is needed to compile the Tauri shell.
What does the built-in plugin marketplace install?
It bundles a snapshot of the GitHub open-source DSH plugin registry (800+ plugins) so you can browse, install and uninstall community plugins in one click. The project disclaims any warranty on third-party plugins' security, compliance or availability — risk is borne by the user.
What license is the project under?
The project is released under the Apache License 2.0. Third-party components — DSH (DeepSeek Harness), the built-in skill packages and the community plugin registry snapshot — keep their own original open-source licenses.
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08Data and sources
基于 [Jingyun Studio](https://jingyun.studio/zh) + [DeepSeek Harness (DSH)](https://github.com/deepseek-ai/deepseek-harnes…
只需安装插件包，即可为您的 DSH 实例接入井云的会员体系、支付系统和全部商业化能力
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-09-06. Found an error? Submit a correction.
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