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dsh-session-tags

Client Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install tuogusa/dsh-session-tags

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

dsh plugin install tuogusa/dsh-session-tags. Source: https://github.com/tuogusa/dsh-session-tags

About this plugin

In the daily operation of DeepSeek Harness, managing a growing number of sessions can quickly become overwhelming, making it difficult to locate specific contexts or past tasks. The dsh-session-tags plugin is designed to address this pain point by introducing a lightweight yet powerful tagging system directly into the DSH ecosystem. It enables users to organize their workflow more efficiently by adding or removing tags for any session, transforming chaotic chat histories into structured, manageable entities.

The core strength of this plugin lies in its intuitive search interface and independent storage architecture. By integrating a "Settings -> Session Tags" panel into the browser interface, users can easily filter sessions using the tag:xxx syntax, allowing for instant access to specific topics without sifting through irrelevant logs. Furthermore, tag data is stored in a dedicated JSON file ($DSH_HOME/session-tags.), ensuring it remains independent from the session logs and query pipelines for better data integrity.

This tool is particularly well-suited for power users and developers who rely on DeepSeek Harness for long-term project tracking or complex task management. If you frequently need to categorize conversations by project, status, or topic, this plugin serves as an essential aid in keeping your workspace organized. It streamlines the user experience by bridging the gap between raw data and actionable information.

Use Cases

  • Quickly locate history to manage multiple projects
  • Track sessions for specific tech topics or bugs
  • Organize long-term session context

Best For

  • Developers frequently using DeepSeek Harness
  • Users needing to organize vast knowledge bases
  • AI assistant users relying on powerful search tools