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dsh-vision

Web Tools Updated 2026.08.17

Run the following command in DeepSeek Harness:

dsh plugin install linenxi-ctrl/dsh-vision

Paste the following prompt into your AI chat to install this plugin:

To install this plugin in DeepSeek Harness, run `dsh plugin install linenxi-ctrl/dsh-vision` in your terminal, or visit https://github.com/linenxi-ctrl/dsh-vision for offline installation scripts and detailed guides.

About this plugin

When using DeepSeek Harness, many powerful text-only models fall short because they lack native vision capabilities to process images or screen content. The dsh-vision plugin is designed to solve this exact problem by introducing an external vision model mechanism, instantly giving eyes to AI models that were previously limited to text. Whether it is analyzing complex error screenshots or understanding user-uploaded photos, it handles visual tasks effortlessly.

The core strength of this plugin lies in its high level of automation and flexibility. Users can quickly configure various mainstream vision APIs (such as OpenAI, Anthropic, and Gemini) via a convenient UI button, with recognition results seamlessly fed back into the current chat. More impressively, it injects autonomous screenshot and image recognition tools into the Agent, allowing the model to decide when to capture the screen and analyze it based on the context, enabling true cross-modal interaction.

If you are a developer or productivity power user who relies heavily on DeepSeek Harness and frequently needs AI assistance to debug frontend UI issues, analyze charts, or handle multimodal tasks, dsh-vision is an essential tool. It perfectly bridges the visual gap for text-only models, making your intelligent assistant significantly more versatile and capable.

Use Cases

  • Enable text-only models to automatically capture screens and analyze error messages.
  • Upload images and invoke external vision APIs to extract text and describe content.
  • Equip agents with vision tools to perform cross-modal automated tasks.

Best For

  • Developers who need to add image processing capabilities to text-only LLMs.
  • Programmers who frequently use AI assistants to debug frontend UI or code errors.
  • Productivity enthusiasts looking to expand multimodal interactions in DeepSeek Harness.