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dsh-archived-chats

Memory Updated 2026.08.26

Run the following command in DeepSeek Harness:

dsh plugin install Ultronen/dsh-archived-chats

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

To install this plugin in DeepSeek Harness, run the command dsh plugin install Ultronen/dsh-archived-chats, and visit its open-source repository at https://github.com/Ultronen/dsh-archived-chats for more details.

About this plugin

When engaging in deep conversations with DeepSeek Harness, archived sessions often vanish from the sidebar, making it difficult to retrieve valuable reasoning processes and context. The Session Archive plugin solves this by providing a local-first archive center that brings your hidden historical chats back to your fingertips. Whether you need structured browsing across workspaces or full-text search through messages and tool results, it helps you instantly locate the exact information you need.

Beyond offering a native read-only preview that perfectly renders Markdown, code, and tool activity, the plugin introduces rigorous local history and recycle bin mechanisms. Validated snapshots are captured upon archiving, allowing you to restore as a copy without overwriting original data. Combined with conflict-safe ZIP backup imports and explicitly confirmed permanent deletion workflows, it ensures your data assets remain absolutely secure. It is ideal for power users, developers, and researchers who prioritize data privacy and need to build a long-term repository of AI interactions in a fully local environment.

Screenshots

Use Cases

  • Locate and restore a complex code debugging session archived weeks ago.
  • Export critical AI reasoning processes as ZIP backups to prevent data loss.
  • Safely recover important chat records from recycle bin snapshots after accidental deletion.

Best For

  • Power users who need to long-term preserve and analyze AI interaction records.
  • Developers who prioritize data privacy and want all archived data kept strictly local.
  • Researchers relying on historical conversation context for knowledge accumulation.