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dsh-subagent-max

Model Inference Updated 2026.08.20

Run the following command in DeepSeek Harness:

dsh plugin install aaravarr/dsh-subagent-max

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

You can install this plugin in DeepSeek Harness by running 'dsh plugin install aaravarr/dsh-subagent-max' or manually downloading from https://github.com/aaravarr/dsh-subagent-max.

About this plugin

When using DeepSeek Harness for complex tasks, users often need to break down work into multiple subagents for parallel processing, but efficiently monitoring and managing their real-time outputs, reasoning steps, and tool calls can be a persistent challenge. Traditional interfaces may not allow simultaneous visibility into the progress of each subagent, making it hard to grasp overall task status at a glance.

The dsh-subagent-max plugin addresses this by offering a multi-panel live viewer that lets users open multiple draggable floating panels, each streaming the complete output of a subagent in real time—including task descriptions, reasoning processes, tool call results, and text content. Additionally, it introduces the subagent_with_model tool, enabling users to explicitly specify the model and provider for each subagent call. This allows for flexible resource allocation, such as using high-performance models for critical steps.

The plugin’s smart provider selection defaults to the parent’s provider if it supports the requested model, otherwise it automatically finds an available provider, streamlining configuration. A Subagents tab aggregates all agents into a card grid, grouped by active/inactive status and sorted by last activity, for easy overview and management. Whether you’re a developer debugging multi-step reasoning or a researcher running parallel experiments, this plugin significantly enhances task observability and control.

Screenshots

Use Cases

  • When managing multiple subagent tasks simultaneously.
  • When customizing model and provider for each subagent call.
  • When monitoring subagent reasoning and tool calls in real time.

Best For

  • Developers handling complex tasks in parallel.
  • AI researchers debugging multi-step reasoning processes.
  • Users of DeepSeek Harness for model inference tasks.