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weien666/dsh-conversation-density-map

Adds a non-uniform conversation density map(chat history markers) to the right of the DSH chat area: one tick per turn, with tick length and spacing reflecting message size, clickable to jump to a turn and expanding on hover when crowded.

Stars ★ 1 Category UI Enhancements Listed 2026-08-20

Install

Inside DeepSeek Harness, with dsh-market

dsh plugin --profile web add dshmarket

Or from the command line

dsh plugin --profile web add github:weien666/dsh-conversation-density-map

Installing runs third-party code with your own permissions — it can read your files, use your credentials and reach the network. Review the source first, and pin a commit (github:owner/repo#sha) when you can.

README


安装:dsh plugin --profile web add github:weien666/dsh-conversation-density-map

Pure frontend, zero dependencies, no build step — the actual plugin consists of only 3 source files.

Main overview

Features

  • One tick per turn: each conversation turn occupies exactly one tick; AI replies (including tool calls and multi-part text) are never fragmented, forming a clean user → AI → user → AI alternation;
  • Density at a glance: longer replies map to longer ticks, while short messages form dense clusters of short ticks, letting you quickly tell which parts of the conversation carry more content and which are fragmented;
  • Window-adaptive layout:
    • Regular window: ticks keep a uniform horizontal length to stay clean;
    • Maximized window: tick horizontal length visually reflects message size and length;
  • Smart hover spreading: when the conversation is long and ticks are dense, moving the mouse toward the right edge automatically spreads the ticks vertically so they are easier to click; with only a few turns, hovering does not move anything;
  • Hover preview: hover over any tick to see a preview (turn number / approximate character count / beginning of the content);
  • Current-position tracking: the turn you are currently reading is automatically highlighted as you scroll;
  • Theme-aware: colors are taken from the Harness theme variables, automatically adapting to light and dark modes.

Demo

Project Structure

dsh-conversation-density-map/
│
├── client.js          ← Plugin core: browser half (conversation density map implementation)
├── index.js           ← Plugin core: host half (empty implementation)
├── package.json       ← Plugin core: declares dsh.client / dsh.bundle
├── cordis.patch.yml   ← bundle patch (applied automatically by `dsh plugin` on install; no manual insert needed)
│
├── docs/              ← demo GIFs (for repository display only; not downloaded during installation)
│
├── README.md
├── LICENSE
└── .gitignore

Download & Installation

Static DSH plugins are installed in two steps: "place the plugin files into the DSH profile" + "register it so it takes effect" — no npm install required. The steps below use Windows as an example. The plugin core consists of the 3 source files at the repository root (client.js / index.js / package.json) plus cordis.patch.yml.

Method A (recommended): one-line install (bundle mode, requires pnpm)

dsh plugin --profile web add github:weien666/dsh-conversation-density-map

The install automatically appends the plugin to dsh.profile.bundles and applies the built-in patch (cordis.patch.yml) — no manual insert needed. Only the source files are installed; the GIFs in docs/ are not downloaded. After installing, restart DSH (dsh web restart) and hard-refresh the browser (Ctrl+Shift+R) to activate.

Method B: download the plugin ZIP from Releases

  1. Open the Releases page of this repository and download the latest dsh-conversation-density-map-vX.Y.Z.zipit contains only the 3 source files, no GIF clutter;

  2. Extract it to any directory, e.g. D:\plugins\dsh-conversation-density-map (the folder containing the 3 source files after extraction is the "plugin directory");

  3. Create a junction under the node_modules directory of the DSH config directory, pointing to it:

    mklink /J "C:\Users\<YourUsername>\.dsh\profiles\web\node_modules\dsh-conversation-density-map" "D:\plugins\dsh-conversation-density-map"
    
  4. Edit C:\Users\<YourUsername>\.dsh\profiles\web\cordis.patch.yml and append at the end:

    - insert:
        - id: conversation-density-map
          name: dsh-conversation-density-map
    
  5. Restart DSH (or refresh the web page with Ctrl+F5) → done.

Method C: download the entire repository via Code

  1. On the repository page → CodeDownload ZIP (downloads the full repository, including source, docs, and GIFs);
  2. After extracting, use the 3 source files at the repository root (client.js / index.js / package.json);
  3. Follow steps 3–5 of Method B: point the junction at that directory (or copy the 3 files directly into node_modules\dsh-conversation-density-map\), then add the registration lines.

Uninstallation

If installed via Method A (one-line command):

dsh plugin --profile web remove dsh-conversation-density-map

Automatically removes the dependency and removes it from dsh.profile.bundles (the insert comes from the in-package patch, so no manual deletion is needed).

If installed via Method B / C (manual): reverse the steps:

  1. Delete the two insert lines in the profile's cordis.patch.yml;
  2. Delete the junction (or delete the folder inside node_modules);
  3. Delete the extracted plugin directory.

All plugin effects are managed through the DSH lifecycle; no styles or listeners are left behind after uninstallation.

Compatibility

  • Built for the DeepSeek Harness Web client (currently based on the 0.1.x DOM structure: data-chat-flow / data-chat-anchor-key / data-conversation-scroll);
  • No third-party libraries; uses only native browser APIs (IntersectionObserver / ResizeObserver / MutationObserver / DOM);
  • If a DSH upgrade changes the chat-area DOM structure, minor adaptation may be required.

Usage Tips

  • Click any tick: smoothly scroll to the start of that turn;
  • Move the mouse near the right edge: ticks spread out (hover spreading);
  • Hover over a tick: shows a content preview.

License

MIT

Content from the project README on GitHub ↗