dsh-split-screen
Run the following command in DeepSeek Harness:
dsh plugin install YEYEYEYESHIFU/dsh-split-screen
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install YEYEYEYESHIFU/dsh-split-screen in your terminal (full source: https://github.com/YEYEYEYESHIFU/dsh-split-screen), then restart dsh web to activate the split-screen workspace.
About this plugin
Running several agents in parallel inside the DeepSeek Harness web GUI forces you to hop back through the sidebar every time you want two outputs side by side. dsh-split-screen turns that cycle into a single drag: drop a second conversation onto the edge of the current pane and it splits into a live, full-featured panel right there.
Once installed, the split workspace simply becomes the conversation area — no mode toggle, no extra chrome. Drag a sidebar conversation onto a pane edge to split; drop it in the center to swap. Every pane is a first-class session: streaming responses, slash commands, attachment drag-and-drop, approval and question cards, the Trajectory view, and any plugin dashboard all render natively inside the pane, indistinguishable from the stock single-conversation look. The composer alternates between a full card and a compact terminal-style line (Alt+T, Option+T on macOS), and the queued-messages panel, todo strip, and stats line all align to the input box width. The layout survives page reloads, so you pick up exactly where you left off.
This plugin is for developers and researchers who drive multiple agent tasks in parallel — one reviewing code, one writing tests, one drafting docs — and want to pull their outputs side by side for a quick glance instead of tab-hopping or stitching screenshots together.
Use Cases
- Drag two conversations side by side to compare a code-review agent and a test-writing agent at a glance
- Reduce tab-hopping when several agent tasks run in parallel, switching within a single screen
- Approval cards and Trajectory views render independently in each pane without interfering
Best For
- Developers driving multiple agent tasks in parallel
- Researchers who need to compare several conversation outputs side by side
- DeepSeek Harness web GUI users who value an efficient interaction flow
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