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dsh-internal-comms

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install satan9394/dsh-internal-comms

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

To install this plugin in DeepSeek Harness, run dsh plugin install satan9394/dsh-internal-comms; the full source is available at https://github.com/satan9394/dsh-internal-comms.

About this plugin

Within DeepSeek Harness model-inference workflows, coordinating communication between components often calls for a lightweight and controllable mechanism. dsh-internal-comms is built for exactly that purpose: it plugs into Harness as a model-inference plugin, offering structured internal communication so that information flow between inference stages stays consistent and well-defined.

Categorized under model-inference, dsh-internal-comms focuses on internal message flow and coordination within model-inference pipelines. It is open-sourced under the MIT license with a straightforward codebase, making it easy to read, extend, and tailor to fit inference orchestrations of varying complexity.

If you are building or maintaining model-inference workflows on DeepSeek Harness and want a unified, maintainable internal-communication layer between inference components, dsh-internal-comms is a practical lightweight addition to your toolchain.

Use Cases

  • Unify inter-component message flow in a DeepSeek Harness inference pipeline
  • Introduce structured internal coordination into multi-stage model-inference workflows
  • Replace ad-hoc approaches with a maintainable communication layer for inference orchestration

Best For

  • Developers building model-inference pipelines on DeepSeek Harness
  • Engineers who need a unified communication mechanism between inference components
  • Teams looking to customize and extend internal message passing in inference orchestration