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dsh-agent-dispatch

Workflow Updated 2026.08.31

Run the following command in DeepSeek Harness:

dsh plugin install kiligzzz/dsh-agent-dispatch

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

Run dsh plugin install kiligzzz/dsh-agent-dispatch in your terminal to install this plugin; source code is available at https://github.com/kiligzzz/dsh-agent-dispatch

About this plugin

When a single main agent handles every task, analysis, review, and debugging all pile into one context window, a wrong model choice stalls the entire chain, and multi-step workflows become impossible. dsh-agent-dispatch lets one natural-language sentence route a task to a persona-defined agent sub-proxy with its own isolated context, keeping the main conversation clean and each sub-proxy focused.

Capabilities span three layers: routing assigns each agent a model priority table, automatically falling back to the next model on failure without manual retry; orchestration uses squad templates to decompose multi-angle goals into ordered steps, where dependent placeholders auto-inject upstream results and independent steps run in parallel; interaction supports three trigger styles, auto-routing in dialogue, a slash-command menu, and a draggable floating activity ball, while re-dispatching to the same agent reuses the existing sub-proxy for seamless follow-ups. All changes take effect immediately without restart.

Ideal for developers who split complex work across domain-specific agents, and for small teams that need auditable, pipeline-style multi-angle investigation across their projects.

Screenshots

Use Cases

  • One-sentence tasks auto-dispatched to persona-defined sub-agents with isolated context
  • Multi-angle investigation runs as a dependency-ordered pipeline with parallel independent steps
  • Automatic model fallback to the next priority on call failure without manual retry

Best For

  • Developers who split complex work across domain-specific agent sub-proxies
  • Small teams needing auditable pipeline-style multi-angle investigation
  • Users who want a clean main conversation with isolated, resumable sub-task contexts