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dsh-chat-timeline-plus

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install NIU-001-LIU/dsh-chat-timeline-plus

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

Run dsh plugin install NIU-001-LIU/dsh-chat-timeline-plus in your terminal to install; the source is available at https://github.com/NIU-001-LIU/dsh-chat-timeline-plus . After installation, restart DSH and the timeline rail will appear on the right side of your chat session.

About this plugin

Hunting down a specific exchange in a long chat session usually means scrolling through dozens of messages, which is tedious and error-prone. dsh-chat-timeline-plus adds a persistent right-side timeline rail to DeepSeek Harness, compressing the entire conversation into a scannable list of entries so you can locate context with your eyes instead of a scrollbar.

The core workflow revolves around three interactions: hovering over an entry for about half a second surfaces a preview card on the left that shows both the full question and a text summary of the answer, letting you confirm which round you need without navigating away; clicking the pin icon keeps the panel expanded no matter where the mouse goes, with per-session memory that auto-restores when you return; starring key exchanges adds a gold indicator line in collapsed view and a one-click filter to show only bookmarked items. Cross-day messages get automatic date separators (Today, Yesterday, YYYY-MM-DD) so long conversations keep a clear chronological thread. Clicking an entry smooth-scrolls to the message, invalidated entries are pruned automatically, narrow screens hide the rail, and both light and dark themes plus keyboard accessibility are supported.

Built for developers, support teams, and anyone who frequently works in long multi-turn inference sessions within DeepSeek Harness. No official DeepSeek account is required, just a DSH web or desktop profile.

Use Cases

  • Quickly locate a specific exchange in a long conversation
  • Trace back context in multi-turn inference sessions
  • Mark and filter key issues in support workflows

Best For

  • Developers who work with long DSH chat sessions daily
  • AI application teams needing multi-turn context tracing
  • Support teams that bookmark and review key exchanges