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agent-team

Workflow Updated 2026.08.26

Run the following command in DeepSeek Harness:

dsh plugin install limuyang2/agent-team

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

Install the Agent Team plugin from https://github.com/limuyang2/agent-team in DeepSeek Harness.

About this plugin

Agent Team addresses the problem of pushing every task through one overloaded parent agent or inherited subagent setup. It lets you build a team of independent AI agents inside DeepSeek Harness, where each member has its own model, session, context window, permissions, reasoning mode, and tool scope instead of carrying the same broad configuration everywhere.

The plugin is built around explicit division of labor. You can create reusable assistant profiles for roles such as planning Leader, coding member, tester, reviewer, documentation writer, or commit assistant, then choose different providers and models for each one. A Leader coordinates the work by creating tasks, assigning members, tracking progress, and collecting results, while members execute in separate conversations and collaborate through a shared Workspace.

This is useful for developers and teams who want multi-agent workflows in DeepSeek Harness without turning every small task into an expensive general-model job. It fits users who need parallel role-based sessions, controlled permissions, mixed model providers, and shared file collaboration, while keeping planning, execution, and verification cleanly separated.

Screenshots

Use Cases

  • Let a Leader plan tasks and assign them to coding, testing, or documentation members.
  • Choose different models and tool scopes for different members.
  • Let multiple members share one Workspace and review Git changes.

Best For

  • Developers building multi-role agent workflows.
  • Teams that want smaller models for routine tasks.
  • Harness users who need isolated sessions and permissions.