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Subagent Pool — DSH Plugin for DeepSeek Harness
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dsh-subagent-pool

Subagent Pool

DSH named-subagent pool: Independently configurable presets, models, and reasoning levels for sub-agents, with descriptions that tell the main agent when to call each sub-agent

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:xiagaogaozi/dsh-subagent-pool#562fd9155fa1becfbe6a637b47b5389f53ad03c7
READMECompatibilityVersions
Plugin screenshot

Compatibility and provenance

Subagent Pool is published as dsh-subagent-pool and currently resolves to version 0.3.3. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
web
Release source
github
Registry updated
9/2/2026

Versions

0.3.3stable
9/2/2026

Related plugins

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Latest
0.3.3
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
web
License
MIT
Source
github
GitHub
★ 0
Weekly downloads
0
Last push
9/2/2026
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README

dsh-subagent-pool

DeepSeek Harness 的命名子代理池插件：在设置页「子代理」维护一批可复用的子代理（每个 = 名字 + 描述 + 模型 + 推理等级 + 预设），主代理在对话中按描述判断"什么时候用谁"，用 subagent_run(name, task) 按名字调用——模型/推理等级/预设自动套用，调用即干活返回结果。

image

安装

dsh plugin --profile web add "file:local-plugins/<path>/<tarball>.tgz"

（或按部署习惯的本地 tarball 流程安装；插件含 host 与 client 两部分，装完重启 dsh。）

使用

  1. 设置 → 子代理 → 添加（名字/描述/模型/推理等级/预设）→ 保存
  2. 主代理的系统提示里会出现子代理目录（{{subagent_pool}} 变量）
  3. 需要时调用：subagent_run(name="林晚", task="……")

配置项语义

字段说明
名称唯一模板名，subagent_run 按它查找
描述发给主代理：什么时候才调用（调度契约）
模型子代理模型覆盖（provider/model），空 = 跟随主代理
推理等级off / high / max，空 = 跟随模型默认
预设子代理挂载的 agent preset，空 = 继承主代理

技术要点

  • 设置页走同源 HTTP 路由（/plugins/dsh-subagent-pool/profiles）——harness.handle 私有桥只在动态插件 VM 可用，普通安装包不可用
  • 预设挂载 = recompose + agent-preset/selected 会话事件（两步缺一不可，否则恢复时回退继承预设）
  • 推理等级 = 子代理 ctx 上的 agent/request waterfall（与 DSH 官方 installModelSelection 同款）
  • 调用形态：一次性（每次新会话，干完即弃）
  • UI 全部使用官方 dsh-client-ui-primitives 组件与图标 + --dsw-* token

License

MIT