Introduction¶

DeepSeek Harness (DSH) uses an “everything is a plugin” architecture, allowing developers to extend an agent’s toolset by adding plugins. When specialized, domain-specific calculations need to be performed locally, introducing lightweight tools with no external dependencies is often the most direct solution. dsh-hydroponics is such a plugin dedicated to the hydroponics field, designed to address the specific problem of nutrient solution formulation.

Plugin Positioning¶

This plugin belongs to the “Model Inference” category and is maintained by uckkk. Its core functionality is hydroponic nutrient solution formulation: based on input parameters, it returns clear formulation recommendations. As a pure Node.js implementation, it does not rely on network requests and is suitable for scenarios that require a locally isolated environment.

Installation and Enablement¶

Run the following command in the terminal to complete installation:

dsh plugin add github:uckkk/dsh-hydroponics

After installation, the tools registered by the plugin are automatically loaded into the current session.

Usage¶

After installation, you can directly use the tools provided by the plugin in conversations or invocation flows. The tools process the nutrient solution formulation logic based on the parameters passed in.

Notes¶

• The plugin depends on @deepseek-ai/cordis and @deepseek-ai/dsh-tools. Ensure the environment meets the peerDependencies requirements.
• Because it uses a pure Node implementation, there is no need to worry about network connectivity issues. It is suitable for deployment in intranet or offline environments.
• The plugin is licensed under the MIT License. Before use, it is recommended to review the source code to ensure compliance with project requirements.

Conclusion¶

For developers who need to handle hydroponic nutrient solution formulation, dsh-hydroponics provides a concise solution with no network dependencies. For more details, refer to its directory page or source code repository.