AI Agent Hub
Back to plugins
⚙️

dsh-task-board

Workflow Updated 2026.08.18

Run the following command in DeepSeek Harness:

dsh plugin install scwlkq/dsh-task-board

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

Run dsh plugin install scwlkq/dsh-task-board in your DeepSeek Harness terminal to install this plugin, source: https://github.com/scwlkq/dsh-task-board

About this plugin

When multiple agent task rounds execute inside DeepSeek Harness, progress often lives only in chat transcripts, leaving no persistent board to track status, approval decisions, or execution history.

dsh-task-board bundles the Host service, Session bridge, Typert RPC contribution, and browser UI into a single installable package. On the board you can create durable task cards with titles, descriptions, acceptance criteria, workspaces, Agent Presets, and image attachments; edit, reorder, reopen, and delete cards; start and stop execution through ordinary DSH Sessions; review finished work, approve it, reject with feedback, send follow-up instructions, or retry a failed round; and inspect per-round activity alongside the full Session history, refreshing the browser projection from the authoritative Host snapshot.

It suits developers and teams who run agent workloads via the DeepSeek Harness Web profile and want a structured, auditable task workflow instead of reconstructing context from conversation threads.

Use Cases

  • Manage status and approval decisions across multiple agent task rounds on a structured board
  • Review agent output, reject with feedback, or retry a failed round
  • Trace per-round Session history and activity logs without scrolling through chat transcripts

Best For

  • Developers running agent workloads inside DeepSeek Harness
  • Engineering teams that need to audit and track agent task progress
  • Engineers who prefer a structured workflow over reconstructing context from chat threads