How to use agent-team
Multi-agent team collaboration for DeepSeek Harness, with per-assistant models, skills, MCP servers, isolated contexts, and a shared workspace.
This article is auto-derived from indexed fields (wiki / faq / compatibility_json), not freshly AI-generated.
This article is derived from the plugin's already-indexed fields (wiki / faq / compatibility_json / readme), not freshly generated by AI. Source field is noted at the end of each section.
Quick start
Multi-agent team collaboration for DeepSeek Harness, with per-assistant models, skills, MCP servers, isolated contexts, and a shared workspace.
— source: plugins.ai_summary
Install & verify
dsh plugin --profile web add @limuyang2/dsh-agent-team
Run the command above in your DSH Web Profile. Then enable the plugin in the plugin list.
— source: plugins.install
Key points
- Create reusable assistants for planning, coding, testing, review, documentation, or any other role.
- Mix providers and models in one team—for example, a Codex Leader with GLM coding members.
- Create assistants manually or describe a role to the built-in Team Agent Assistant.
- Add the same assistant more than once; every selection becomes an independent team member.
- Watch all members side by side with streaming output, Markdown, Think blocks, and tool calls.
— source: plugin_wiki.readme_en (fallback readme_raw)
Compatibility
- DSH: 0.1.0-rc.7+
- Node: >=22.19.0
— source: plugin_wiki.compatibility_json
Pitfalls
Review the upstream repo before installing. This guide is auto-derived from indexed fields and may lag the latest release. If anything contradicts the official docs, treat the upstream source as authoritative.
— source: general rule