AI Agent Hub
Back to plugins
⚙️

dsh-image-vision-bridge

Workflow Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install Icestab/dsh-image-vision-bridge

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

Please install the dsh-image-vision-bridge plugin in DeepSeek Harness by executing the install command and visiting https://github.com/Icestab/dsh-image-vision-bridge for the source code.

About this plugin

In the DeepSeek Harness environment, the main model often struggles to process image blocks directly, leading to compatibility issues that disrupt the conversation flow. dsh-image-vision-bridge is specifically designed to solve this multimodal interaction barrier. Acting as a host plugin, it cleverly intercepts the LLM stream to convert user images into text descriptions via a vision model (defaulting to mimo-v2.5) before injecting them back into the request, all without altering the original chat logs.

Its core capability lies in "Invisible Bridging": images remain visible in the chat history for reference, while the system automatically generates and injects concise text summaries into the main model's context. This design ensures a clean dialogue by hiding intermediate parsing steps, while maintaining high stability through in-process caching and fallback strategies.

This plugin is perfect for developers who want to leverage DeepSeek's powerful logic for visual tasks, such as image analysis or scene understanding, without cluttering the chat interface with raw descriptions. If you are looking for a seamless way to enable vision capabilities for your DeepSeek instance without complex code modifications, dsh-image-vision-bridge is an excellent choice.

Use Cases

  • Automatically recognize and analyze uploaded image content.
  • Ask about image details and receive answers in chat.
  • Hide image parsing steps to keep the chat interface clean.

Best For

  • Developers using DeepSeek Harness.
  • Users needing to process images without seeing parsing text.
  • AI enthusiasts wanting to enhance LLM vision capabilities.