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dsh-conv-search

Client Updated 2026.08.22

Run the following command in DeepSeek Harness:

dsh plugin install beijingwahw/dsh-conv-search

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

To install this plugin in DeepSeek Harness, run the command 'dsh plugin install beijingwahw/dsh-conv-search' with the full source at https://github.com/beijingwahw/dsh-conv-search.

About this plugin

Have you ever found yourself scrolling frantically through a lengthy chat session in DeepSeek Harness, trying to locate a specific piece of information? The browser's built-in find function is too broad, cluttered with interface elements, and loses sync with a conversation that is still streaming. The dsh-conv-search plugin is built to solve exactly these frustrations, bringing a focused, in-conversation search experience directly to your chat viewport. Its core strength lies in being stream-aware and seamlessly integrated with the React-based UI. Instead of manipulating the DOM, which would break during streaming, it uses the CSS Custom Highlight API to overlay match highlights, ensuring visual stability even as new content is generated. You can navigate between matches with familiar keyboard shortcuts, toggle case sensitivity and whole-word matching, and browse your recent search history. This transforms the chat interface into a searchable document, much like in an IDE or text editor. This plugin is ideal for power users of DeepSeek Harness, such as developers, researchers, and writers, who engage in long technical discussions, code reviews, or creative sessions. If you need to efficiently trace back information, cross-reference details, or maintain context across a long dialogue, dsh-conv-search is designed to significantly enhance your productivity.

Use Cases

  • Quickly locate key information in long conversations.
  • Accurately search for error codes or function names during debugging.
  • Track specific terms or concepts in technical discussions.

Best For

  • Developers who frequently use DeepSeek Harness.
  • Researchers engaged in lengthy technical discussions.
  • Content creators needing to efficiently manage conversation content.