dsh-shadowgarden-ui-suite: DeepSeek Harness (DSH) Frontend Customization Suite

The `dsh-shadowgarden-ui-suite` plugin injects styles and scripts to provide visual and interaction customization for the DeepSeek Harness (DSH) frontend, including the Shadow theme, a Kanban drawer, and energy effects. It also offers C#-based Flagship and Edge Turbo Edition window solutions, supporting independent multi-windows and drag-and-drop reordering. After installation, restart the service for changes to take effect; it can invoke functional windows through a specific protocol.

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dsh-vision-fallback: Preserving chat images in the text-only main model

dsh-vision-fallback is an MIT-licensed plugin for DSH, maintained by 1HelloMan1. It is designed to address the gap where the main model supports text-only while the chat interface contains images. Through a plugin-based approach at the request layer, it automatically delegates images to a fixed vision model, converts them into hidden text context to return to the main model, while preserving the original images in the UI. This plugin is compatible with DSH versions 0.1.2-alpha.3 to 0.1.2-alpha.5 and requires a Node.js environment of at least 22.13.0. Its core features include automatically handling MCP/ACP persistent attachments and PTC nested images while preserving order; and supporting the configuration of the vision model and Base URL via the Web settings page or settings.yaml.

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deepseek-vl-support: DSH Plugin for Integrating Vision into DeepSeek Text Models

`deepseek-vl-support` is an MIT-licensed plugin designed to address the pain point where DeepSeek text models cannot directly read images. The plugin intercepts image reading requests, forwards them to selected OpenAI-compatible vision services (such as OpenRouter, SiliconFlow, DashScope, etc.), and returns the text descriptions in a fixed format to the model, thereby enabling image understanding. This tool supports multiple Agent environments, including Claude Code, Codex, DeepSeek Harness, Cursor, VS Code, etc., and provides a one-time installation wizard, per-Agent installation commands, and a `doctor` health check function. Users only need to have Node.js...

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dsh-free-vision: Enabling the DSH Plain Text Model to Read Screenshots, Errors, and UIs

dsh-free-vision is a free vision plugin developed specifically for DeepSeek Harness (DSH), designed to endow pure text models with image understanding capabilities. The plugin implements in-process startup through the built-in visual engine luma-mcp, eliminating the need for additional MCP service configuration, and addresses needs such as screenshot analysis, OCR, UI interpretation, and document recognition. Its core advantages include zero configuration, support for multiple free vision model providers such as Qwen, Volcengine, and SiliconFlow, and the ability to customize API addresses to adapt to different network environments. The plugin provides a single universal tool, `image_understand`, supports various task modes (e.g., OCR, debugging, description), and automatically optimizes the processing of large images. Users can quickly install it via the `dsh` command, restart the system, and then utilize the settings.

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dsh-vision: Adding Image Understanding to DeepSeek Harness's Plain-Text DeepSeek

dsh-vision is a DeepSeek Harness plugin developed by 54xee, designed to add image understanding capabilities to the pure text model DeepSeek. It wraps adapters to convert images into text placeholders and backfills the recognition results for model processing. The plugin defaults to using the Doubao Web channel, requiring only a browser login, with no API key needed and zero cost. It also supports multiple access methods, including Reverse Gravity IDE, Gemini API, Cockpit reverse proxy, aicode direct connection, and any IDE CLI. Core features include visual evidence memory, content hash caching, automatic tier upgrades, and four task modes. Installation is simple, configuration is flexible, and it is suitable for developers who wish to add visual capabilities to DSH at a low cost or those who already have relevant IDE/API quotas. Please note that you need to check...

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