weshopai
weshop-dsh-plugin
Native WeShop Cordis plugin for DeepSeek Harness. Allow you to use infinite canvas with infinite creative skills.
- Stars
- 6
- Language
- JavaScript
- Created
- Aug 14, 2026
- Updated
- Aug 14, 2026
Introduction
WeShop for DeepSeek Harness
An AI visual workspace for e-commerce creation, built into DeepSeek Harness.
Select products, models, or reference images on an infinite canvas. Describe the result you want in natural language, and watch it appear right next to the conversation.
Read the Chinese README · Get a WeShop API Key · Contact us
[!IMPORTANT] Install and successfully run DeepSeek Harness before installing this plugin. This repository is a Harness plugin, not a standalone application.
📖 What is WeShop for DeepSeek Harness?
WeShop for DeepSeek Harness brings WeShop's e-commerce visual workspace directly into DeepSeek Harness, so creative work happens on the same infinite canvas as your conversation instead of a separate tool.
It is built for workflows like:
- Turning a product shot into a clean, on-brand main image or lifestyle scene
- Trying garments and accessories on a model with virtual try-on
- Swapping, extending, or cleaning up backgrounds without leaving the chat
- Batching photography, edits, and short video from a single natural-language brief
✨ Highlights
- 🧩 Native plugin architecture: Native Cordis Host and browser plugin; no MCP child process required.
- 🖼️ Infinite canvas: Marquee multi-selection, grouped movement, undo, download, delete, zoom, and pan.
- 💬 Synchronized conversation: Harness chat stays in sync with the canvas, with
@references for selected items. - 🤖 Bundled preset & Skills: Ships with the
weshop-canvasagent preset and WeShop Skills, ready on first use. - ⚡ Automatic publishing: Generated images, video, audio, and text land directly on the canvas — no manual download/re-upload.
- 🔐 Secure API Key handling: Configure in the canvas or via
WESHOP_API_KEY; the key never reaches browser state or the model. - 🌐 Bilingual interface: Chinese and English, with automatic locale detection and manual switching.
- 📦 Portable install: Packages as a single
.tgzfor installation on any machine running Harness.
💡 Why WeShop?
| Pain Point (Traditional) | The WeShop Workspace |
|---|---|
| Tool-switching: product photos, edits, and video each live in a different app. | One canvas: photography, try-on, background replacement, edits, and video happen in the same space as your conversation. |
| Manual round-trips: generate somewhere else, then download and re-upload. | Automatic publishing: results are added straight to the canvas as soon as they're ready. |
| Prompt-only workflows: hard to point at this product or this reference image. | Spatial selection: select items on the canvas and reference them with @ right in chat. |
| Opaque key handling: unclear where credentials are stored. | Restricted local storage: your API Key is saved by the local Harness Host and never returned to the browser or model. |
🚀 Getting Started
Before you begin
Install Node.js, then start the official Harness Web UI once:
npx @deepseek-ai/dsh web
Harness should open at http://127.0.0.1:3080. Once you see it, stop Harness before continuing.
Alternatively, follow the official DeepSeek Harness source installation instructions.
First installation
With Harness closed, run one command:
npx weshop-dsh-plugin setup
The installer adds WeShop to the Harness Web profile, enables its bundle, and migrates old WeShop packages if it finds any. No GitHub account, access token, or manual file editing is required.
Then restart Harness:
npx @deepseek-ai/dsh web
Create or open a task, then choose the WeShop Canvas preset. The preset is installed automatically on first activation.
Update WeShop
For the simplest update, close Harness and run:
npx weshop-dsh-plugin setup
If you already use the public npm package, this also works:
cd ~/.dsh/profiles/web
pnpm update weshop-dsh-plugin
Upgrading from an older WeShop install? If you previously installed a
.tgzarchive,@weshop/dsh-canvas,@weshop/dsh-weshop-2-0, or@weshopai/dsh-weshop-2-0, runnpx weshop-dsh-plugin setuponce. It replaces the old package and bundle entry automatically. After that, use either update command above.
Advanced: build a portable archive
Access to this private repository is required.
git clone git@github.com:weshopai/weshop-dsh-plugin.git
cd weshop-dsh-plugin
corepack enable
pnpm install --frozen-lockfile
pnpm build
pnpm pack
This creates a versioned file such as weshop-dsh-plugin-1.0.1.tgz.
Install it into the Harness Web profile:
PLUGIN_TARBALL="/absolute/path/to/weshop-dsh-plugin-1.0.1.tgz"
cd ~/.dsh/profiles/web
pnpm add "$PLUGIN_TARBALL"
⚙️ Configure WeShop OpenAPI
Open the canvas and select Configure API Key in the top bar. The key is saved by the local Harness Host with restricted file permissions and is never returned to the browser, canvas state, or model.
You may instead provide the key before starting Harness:
export WESHOP_API_KEY="your-key"
npx @deepseek-ai/dsh web
Get a key from WeShop OpenAPI.
🏗️ Development
pnpm install --frozen-lockfile
pnpm build
pnpm pack --dry-run
Package entry points and runtime contributions:
lib/index.js— Cordis Host plugin, tools, Skills, routes, and private configuration.lib/client.js— browser canvas and synchronized conversation UI.cordis.patch.yml— bundle composition entry.presets/weshop-canvas/— bundled WeShop agent preset.skills/— bundled canvas and WeShop OpenAPI instructions.
🔒 Portability & Security
- The package contains compiled Host and browser entries, presets, Skills, and required assets.
- The target computer must already have a working Harness Web profile.
- API Keys and generated local assets are intentionally excluded from the package and must be configured on each machine.
- Canvas data is stored locally by the browser; it is not embedded in the installation archive.
🤝 Contact
For support or partnerships, email hi@weshop.ai.
📄 License
This software is available under the MIT License.