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look-here

Memory Updated 2026.08.19

Run the following command in DeepSeek Harness:

dsh plugin install ZanderKong/look-here

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

Run dsh plugin install ZanderKong/look-here to install from https://github.com/ZanderKong/look-here, then restart the Web service when prompted.

About this plugin

Scrolling through a long DSH response, the most natural impulse is to pause, point at a sentence, and ask what it means or how it fits together. Look Here is built for exactly that moment: select text, and a nearby dot appears. A short press triggers a quick explanation or custom follow-up question; a long press lets you add an annotation. Every side call runs through an independent ctx.llm invocation, so nothing leaks into the main conversation.

The memory and annotation workflow is where it really shines. Save explanations you like and they resurface when the same term reappears later. Gather several anchored notes in a drawer, edit them freely, then drag the whole batch into the DSH composer. The draft updates silently, and only you decide when to hit send, because Look Here never auto-submits a main-session message.

It suits technical writers, documentation reviewers, and learners who read long DSH responses closely and like to annotate as they go. The UI is bilingual in Chinese and English, supports theme colors, configurable selection gestures, and reduced-motion preferences for comfortable extended reading.

Use Cases

  • Select a sentence in a long DSH response and short-press the dot for an isolated explanation that does not touch the main conversation
  • Collect several anchored notes, edit them freely in the drawer, then drag the whole batch into the composer
  • Save explanations of key terms so they resurface automatically the next time the same term appears

Best For

  • Technical writers who read long DSH responses closely and annotate as they go
  • Documentation reviewers who batch annotations and want full control over when a draft is sent
  • Learners who prefer isolated supplementary explanations without interrupting the main conversation flow