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dsh-agent-teams preview

dsh-agent-teams

Workflow Updated 2026.08.26

Run the following command in DeepSeek Harness:

dsh plugin install jypjypjypjyp/dsh-agent-teams

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

Run dsh plugin install jypjypjypjyp/dsh-agent-teams in a DeepSeek Harness session to install the plugin. Repository: https://github.com/jypjypjypjyp/dsh-agent-teams

About this plugin

When a complex goal demands multi-perspective, multi-step collaboration, a single-threaded conversation loses context quickly and sub-tasks queue up serially. dsh-agent-teams turns the current session into a captain: describe the goal in natural language, and the plugin assembles a team of durable sub-agents, splits the goal into dependency-aware tasks, and hands them to a built-in scheduler for parallel execution—no external workflow engine required.\n\nKey capabilities include captain-led delegation with result consolidation, continuable sub-agent members that can be woken for focused follow-up turns, a task state machine that blocks premature claiming until dependencies finish, an idle-member scheduler that atomically claims ready work, durable mailbox messaging between members and the captain, and a live Web activity panel combining segmented progress, a collapsible roster, and an interactive task DAG. All team state is persisted to disk so a scheduler retry after a cold restart picks up stranded work without manual intervention.\n\nBuilt for DeepSeek Harness developers who need multi-agent collaboration: multi-view code reviews, parallel frontend and backend implementation, combined security and performance analysis, or any workflow where one natural-language instruction should spin up a full team and the captain delivers a single consolidated report.

Screenshots

Use Cases

  • Drive a multi-perspective code review with one natural-language prompt and get a consolidated report
  • Run parallel frontend and backend implementation with automatic dependency ordering
  • Combine security and performance analysis and let the captain merge all findings into a single deliverable

Best For

  • Developers who need multi-agent collaboration inside DeepSeek Harness
  • Solo developers who want to avoid building a custom workflow engine
  • Engineers building complex multi-step task pipelines