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dsh-fleet

Workflow Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install scriptsnet/dsh-fleet

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

To install the dsh-fleet plugin in DeepSeek Harness, run the command: dsh plugin install scriptsnet/dsh-fleet. The full source code is available at https://github.com/scriptsnet/dsh-fleet.

About this plugin

Idle computing power on personal computers, servers, and cloud instances often goes to waste, while AI development and research demand substantial computational resources. dsh-fleet addresses this disparity by enabling you to easily aggregate idle devices into a distributed AI computing pool, facilitating cross-platform resource sharing and scheduling.

At its core, the plugin offers secure and flexible networking for computing resources. It supports seamless integration of devices across Windows, Linux, macOS, and other platforms, establishing trust through challenge-response based security handshakes. You can create multiple independent teams, manage members flexibly, and dispatch tasks to any online node with a single click. Task results are automatically relayed back, ensuring transparency and traceability throughout the process.

dsh-fleet is ideal for individual developers, research teams, and small technical groups with access to underutilized hardware. Whether you want to run AI models on old PCs, coordinate multiple servers within a company, or share computing power with friends for exploratory projects, this plugin provides a simple yet powerful solution to maximize the value of dispersed hardware resources.

Use Cases

  • Building a private AI computing pool from idle PCs, servers, and cloud instances
  • Remotely sharing compute resources among team members via LAN or the internet
  • Collaboratively executing development tasks across Windows, Linux, macOS, and other operating systems

Best For

  • Individual developers or tech enthusiasts with idle devices
  • AI research teams or labs needing elastic computing power
  • Small teams or startups seeking low-cost collaborative computing solutions