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dsh-meta-orchestrator preview

dsh-meta-orchestrator

Workflow Updated 2026.08.15

Run the following command in DeepSeek Harness:

dsh plugin install jiruidai/dsh-meta-orchestrator

Paste the following prompt into your AI chat to install this plugin:

In DeepSeek Harness, install the plugin by running `dsh plugin install jiruidai/dsh-meta-orchestrator` (source: https://github.com/jiruidai/dsh-meta-orchestrator) into the web profile, then restart dsh.

About this plugin

dsh-meta-orchestrator solves the critical pain point of rigid, inflexible workflows in agentic systems. When faced with complex, multi-step tasks, most agents either follow a pre-hardcoded pipeline or proceed without a clear, auditable execution plan. This plugin fundamentally changes that by teaching the agent to dynamically synthesize a task-specific workflow at runtime. Its core capability is “plan-first, dynamic orchestration”: the agent analyzes the request, selects an appropriate structural pattern (like sequential chaining, parallel processing, or routing), and then writes a structured, verifiable plan which is durably recorded before any work begins. The actual execution then relies solely on the harness’s battle-tested primitives (like sub-agents and tools), ensuring nothing extra breaks. This approach delivers explicit, versioned, and resumable workflows without adding runtime complexity. It is ideal for users running important multi-step work—such as code audits, coordinated research, or complex reports—who need their process to be transparent, reliable, and traceable, rather than left to the agent’s implicit behavior.

Screenshots

Use Cases

  • When handling complex tasks that require clear phased execution
  • When coordinating multiple sub-agents for parallel or divided collaboration
  • When task requirements change dynamically, requiring real-time plan adjustment

Best For

  • Developers or researchers running critical multi-step workflows with DeepSeek Harness
  • Teams that need explicit, versioned, and traceable workflow plans
  • Automation users who prioritize transparency and reliability over hardcoded pipelines