採 MIT 授權的 DeepSeek Harness 插件：執行由獨立 root agent 組成的團隊，各自擁有模型、脈絡與工具，共用同一個 Workspace，並由 Leader 指派任務、驗證結果。
DSH 整合
原生執行環境
作者聲明
安全稽核
未稽核
最後核實
2026-09-06
授權條款
MIT
01它能幫你完成什麼？
Assemble a multi-agent team where each member is an independent root agent with its own model, provider, context, and tools, all sharing one Workspace.
A team of isolated agent sessions that plan, implement, test, review, and document on the same shared Workspace files.
DeepSeek Harness users who want to split complex work across specialized agents instead of overloading a single agent.
Create reusable assistants for planning, coding, testing, review, or documentation roles.
Configured assistants (provider, model, preset, default permission, reasoning mode, Skills, MCP Servers, role instructions) reusable across teams.
Teams building a library of role-based assistants under Settings → Agent Team.
Coordinate work through a Leader that creates and assigns tasks, tracks progress, and verifies results.
An explicit task/result/status flow where the Leader assigns work and members report progress, without sharing one expanding conversation.
Users who want a coordinating Leader and isolated member contexts rather than a single shared conversation.
02如何將外掛接入 DeepSeek Harness？
先決條件
- Node.js 22.19.0+ or 24.0.0+
- DeepSeek Harness 0.1.1-rc.2
- pnpm available on PATH (Harness uses it to manage Profile plugins)
安裝步驟
- 01
$ npx @deepseek-ai/dsh plugin --profile web add @limuyang2/dsh-agent-team
- 02
$ npx @deepseek-ai/dsh web
- 03
Open the URL printed by Harness (normally http://127.0.0.1:3080/).
驗證整合成功
- Open the URL printed by Harness, normally <http://127.0.0.1:3080/>.
復原
- Stop Harness with Ctrl+C, then run: npx @deepseek-ai/dsh plugin --profile web remove @limuyang2/dsh-agent-team
03DSH 整合程度與能力邊界
Installed as a DeepSeek Harness Profile plugin via the official dsh plugin CLI; each member runs as an independent Harness session sharing one Workspace.
Independent root agents
A role description, or a manually configured assistant→An independent root agent with its own model, session, context, permissions, reasoning mode, and tool activity
Leader task orchestration
A team goal sent to the Leader→Tasks created and assigned to members; progress and results collected and verified
Shared Workspace and Git preview
A team Workspace (Git repository or normal folder)→Shared files accessible to all members; Git changes and diffs previewable
Reusable assistant library
Settings → Agent Team assistant definitions→Reusable assistants with provider, model, preset, default permission, reasoning mode, Skills, MCP Servers, and role instructions
Agent Team reads the model catalog from the active Profile and never stores provider API keys
04適合誰？何時不該用？
適合
- DeepSeek Harness users who want to split complex work across specialized agents instead of overloading a single agent.
- Teams building a library of role-based assistants under Settings → Agent Team.
- Users who want a coordinating Leader and isolated member contexts rather than a single shared conversation.
不適合
- Requires DeepSeek Harness 0.1.1-rc.2 or later; the plugin is a Harness Profile plugin and depends on the Harness runtime.
05相容性、維護與安全提醒
- Requires DeepSeek Harness 0.1.1-rc.2 or later; the plugin is a Harness Profile plugin and depends on the Harness runtime.
- Requires Node.js 22.19.0+ or 24.0.0+ to run the Harness.
- Requires pnpm available on PATH; Harness uses it to manage Profile plugins.
- An assistant's permission setting is only the member's initial default; it can be changed at runtime per session.
- The Changes view requires a Git Workspace; normal folders still support file browsing but will not show Git changes.
MIT · current release 0.1.4 per README; repo latest_release tag absent
06常見問題
要怎麼把 Agent Team 安裝到 DeepSeek Harness？
執行 `npx @deepseek-ai/dsh plugin --profile web add @limuyang2/dsh-agent-team`，再用 `npx @deepseek-ai/dsh web` 啟動 Harness，開啟它印出的網址（通常是 http://127.0.0.1:3080/）。安裝或替換插件後請重新啟動 Harness。
Agent Team 會把成員變成某個父智能體的子智能體嗎？
不會。Agent Team 不會把成員變成子智能體——每個成員都是獨立的 root agent，擁有自己的模型、工作階段、脈絡、權限、推理模式與工具活動。
成員可以使用不同的模型與供應商嗎？
可以。你可以在一個團隊裡混用不同的供應商與模型，例如用 Codex 當 Leader、GLM 當編碼成員，並只給每個角色它所需的 Skills 與 MCP Servers。
團隊成員會共用對話歷史嗎？
成員共用同一個 Workspace，但不共用對話歷史。這樣既能讓他們操作同一批檔案，又能讓各自角色與模型脈絡保持隔離。
執行 Agent Team 有什麼前置要求？
需要 Node.js 22.19.0+ 或 24.0.0+、DeepSeek Harness 0.1.1-rc.2，以及 PATH 上可用的 pnpm（這套軟體用它來管理 Profile 插件）。
07相關的 DSH 工作流程
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08資料與來源
Build teams of independent AI agents inside DeepSeek Harness. Mix models and providers, assign one Leader, and let every…
Agent Team does **not** turn members into subagents. Every member is an independent root agent with its own model, sessi…
此頁面根據專案公開文件、儲存庫中繼資料與 DSH Plugins 的結構化解析所產生；最後核實於 2026-09-06。發現錯誤？提交更正。
最佳 DeepSeek Harness 外掛
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