dsh-mlops
Run the following command in DeepSeek Harness:
dsh plugin install satan9394/dsh-mlops
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install satan9394/dsh-mlops in your DeepSeek Harness terminal to install the plugin; source code is available at https://github.com/satan9394/dsh-mlops .
About this plugin
dsh-mlops is an agent plugin in the DeepSeek Harness ecosystem, focused on MLOps workflows. It plugs into the Harness framework under the agent-workflow category, allowing MLOps-related task nodes to be orchestrated within existing agent collaboration pipelines so that training, evaluation, and deployment steps can be uniformly scheduled.
As the project is still in its early stages, the current feature set is deliberately lean. The core goal is to provide an extensible plugin entry point for MLOps scenarios inside the Harness agent-workflow system, with capabilities expected to grow through future iterations. The project is open-sourced under the MIT license and welcomes community contributions and feedback.
It is best suited for developers and engineering teams who are building agent pipelines with DeepSeek Harness and want to connect MLOps lifecycle management into a unified agent orchestration flow.
Use Cases
- Orchestrate model training and evaluation nodes within agent pipelines
- Uniformly schedule MLOps tasks inside Harness workflows
- Integrate model lifecycle management into agent collaboration chains
Best For
- Developers building agent pipelines with DeepSeek Harness
- Engineering teams focused on MLOps workflow integration
- AI engineers unifying model lifecycle under a single orchestration layer
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