AI Agent Hub
Back to plugins
dsh-timeline-rail preview

dsh-timeline-rail

Client Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install lcthe/dsh-timeline-rail

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

To install this plugin in DeepSeek Harness, execute `dsh plugin install lcthe/dsh-timeline-rail` using the source code located at https://github.com/lcthe/dsh-timeline-rail.

About this plugin

Navigating through lengthy conversations can be tedious and prone to getting lost when scrolling line by line. The dsh-timeline-rail plugin is designed to address this pain point by drawing a visual timeline rail along the left edge of the conversation, providing a convenient navigation aid for the otherwise monotonous text stream. Its core strength lies in its elegant interaction design, generating evenly spaced thin ticks along the left edge, each corresponding to a user message. When users hover over a tick, a compact preview card appears, showing a summary of the user's message and the assistant's reply; clicking the tick instantly jumps the conversation to that point. Notably, it automatically loads older history pages, ensuring that even with extremely long sessions, the tick spacing remains fixed and comfortable rather than becoming cramped. Whether you are a developer needing to review complex dialogue logic or a user accustomed to spending long hours in the DeepSeek Harness desktop or web client, this plugin can significantly enhance your communication efficiency. It not only supports seamless switching between light and dark themes but also adopts a minimalist visual style, ensuring it never obstructs the message content, making it an excellent tool for improving the long conversation management experience.

Screenshots

Use Cases

  • Quickly locate key messages in conversations
  • Navigate context when reviewing long sessions
  • Improve browsing experience for long texts

Best For

  • Developers needing to manage large history logs
  • Users accustomed to deep desktop conversations
  • General users frequently searching for specific replies