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dsh-cobalt

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install uckkk/dsh-cobalt

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

Run dsh plugin install uckkk/dsh-cobalt in the DeepSeek Harness terminal to install this plugin; the full source is available at https://github.com/uckkk/dsh-cobalt .

About this plugin

Local model inference often pulls in remote APIs or heavyweight runtime stacks, making deployment slow and debugging painful. dsh-cobalt takes a lighter path: a pure Node.js implementation with zero network dependencies that runs inference logic entirely inside the local process, with no proxies or external services to maintain.

As a model-inference plugin in the DSH ecosystem, it keeps the runtime footprint minimal. There are no external service calls and no native binaries to manage. It slots directly into an existing Node workflow or build script without introducing an extra infrastructure layer.

If you need lightweight inference in offline environments, air-gapped networks, or resource-constrained machines, and you would rather not pull an entire stack of external services just for a single call, dsh-cobalt is a pragmatic option to keep on your radar.

Use Cases

  • Running lightweight model inference in offline or air-gapped network environments
  • Embedding inference directly into a Node.js service without deploying external backends
  • Executing inference on resource-constrained machines without heavyweight runtime dependencies

Best For

  • Developers who need model calls in network-isolated or restricted environments
  • Engineers who prefer minimal runtime dependencies and a pure JavaScript stack
  • Indie hackers integrating local inference logic into Node.js projects