NanmiCoder/dsh-agent-teams ↗★ 1.8k
@nanmicoder/dsh-agent-teams
AgentTeams for DeepSeek Harness: multi-agent team collaboration (captain, members, tasks with dependencies, messaging) driven by natural language, with a tree monitor in the web GUI 适合需要构建复杂多Agent协作任务并可视化监控进度的用户。
같은 패키지 이름의 다른 저장소
설치
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:NanmiCoder/dsh-agent-teamsConfiguration
Defaults work without extra setup. A trusted profile can override member behavior:
- id: agent-teams
config:
stateDir: .agent-teams
memberProvider: spawn
memberModel: deepseek-v4
memberMaxDepth: 0
maxMembers: 8
memberMaxDepth defaults to 0: team members cannot create nested subagents. Set 1 to explicitly permit one descendant level; the limit also covers runtime/code-tool calls. Default members report through team messages only, avoiding duplicate native parent reports. Idle roster members make no model requests. Task assignments start distinct turns; coordination joins the nearest model step. Acceptance and consumption are tracked separately. Removal/archive drains the selected branch and its pending input before reporting success.
memberProvider is the sub-agent runtime backend (spawn / fork), not an LLM provider. Cross-LLM-provider routing uses the optional provider + model fields of agent_teams_add_member; memberModel is only a model default for all members. A member on the captain's current provider/model inherits the captain's reasoning effort, while a changed provider or model automatically uses the target model's default. To request a particular effort, pass the optional reasoning_effort field — one of the target model's supported effort ids, or "default" to force the model's own default.
slashCommand: false disables the deterministic /agent-teams activation surfaces (slash command and gesture boundary), leaving the natural-language trigger as the only entry point.