dsh-meta-orchestrator

A model-native meta-agent plugin for DeepSeek Harness: the model synthesizes task-specific workflows at runtime from five agentic workflow patterns (prompt chaining, parallel workers, router, supervisor, evaluation loop) and coordinates tools and subagents — without fixed pipelines, templates, or hard-coded routing.

AI 分析

核心用途是让大模型在运行时动态构建和调整任务工作流。适合需要复杂、非固定步骤任务编排的高级用户，需要配合支持存储栈的 Profile 运行。

エージェント生産性

パッケージ: dsh-meta-orchestrator
バージョン: 0.2.0
ライセンス: MIT
最終更新: 2026/08/14

インストール

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jiruidai/dsh-meta-orchestrator

ドキュメント

README 全文を読む ↗

⚙️ Configuration

Key	Default	Meaning
`autoTrigger`	`false`	Append a one-time protocol reminder inside the first request of a session (delivered by composing the `agent/pre-step` decision). Off by default: the policy section alone drives the protocol at zero extra token cost.