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dsh-session-dustbin

Memory Updated 2026.08.21

Run the following command in DeepSeek Harness:

dsh plugin install Github-CJX/dsh-session-dustbin

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

Open the terminal or command panel in DeepSeek Harness and run dsh plugin install Github-CJX/dsh-session-dustbin to install this plugin; see the source at https://github.com/Github-CJX/dsh-session-dustbin.

About this plugin

Over time, DSH accumulates archived sessions that are a pain to manage: reading old conversations means digging through disk files, deleting requires a platform restart, and restoring lacks a unified entry point. dsh-session-dustbin moves the session dustbin into the DSH settings panel, turning archive browsing, safe deletion, and one-click restore into two-click operations that take effect immediately without any restart.

The core workflow covers three high-frequency actions. Archived sessions appear as cards; expanding one decodes the full multi-frame zstd log so you can read the entire conversation. Deletion follows a three-step chain - memory broadcast, directory cleanup, workspace marker removal - so the sidebar disappears instantly and data is irreversibly purged. Restore pulls an archived session back to the active list with a single click. An experimental sidebar shortcut injects a delete option directly into the session context menu, guarded by a DSH-style confirmation dialog.

If you work with DSH daily, generate large volumes of sessions, and need efficient archive management and disk cleanup, this plugin eliminates the manual file-digging and repeated restarts, consolidating the full session lifecycle into one settings card.

Screenshots

Use Cases

  • Reviewing the full conversation of an archived session without digging through disk files
  • Permanently deleting unneeded sessions to free disk space without a restart
  • Restoring an accidentally archived session back to active with one click

Best For

  • Developers who rely on DSH long-term with large session volumes
  • Heavy users managing session lifecycle and disk footprint
  • Platform users who prefer instant operations over repeated restarts