Introduction

DeepSeek Harness (DSH) emphasizes modularity and pluginization. When building agents or performing model inference, developers often need to quickly retrieve or look up the list and details of specific services. If every query depends on external network requests, it can increase system latency and complexity. The dsh-future-emotional-ai plugin is designed to address this pain point by providing localized data query capabilities.

Plugin Overview

dsh-future-emotional-ai is a DSH plugin focused on emotional AI data management and is maintained by developer uckkk. It does not rely on external network connections and is implemented purely with Node.js, aiming to let users quickly query emotional AI-related entries in a local environment.

Core Features

The plugin provides two basic tools:

  • list_emotional-ai: Lists emotional AI entries.
  • get_emotional-ai: Queries the details of an emotional AI entry by id or name.

Installation and Dependencies

Installation

Run the following command in the DSH environment to install the plugin:

dsh plugin add github:uckkk/dsh-future-emotional-ai

Dependency Requirements

The plugin requires the following Peer Dependencies to run:

{
  "@deepseek-ai/cordis": "^4.0.1",
  "@deepseek-ai/dsh-tools": ">=0.1.0-rc.6"
}

Usage

After installation, simply call the tools registered by this plugin in the session. The specific invocation method depends on the particular implementation of DSH.

Notes

This plugin is open-sourced under the MIT license. Because the plugin runs with the current DSH process permissions, it is recommended to review the source code and license before installation to ensure compliance with your project’s security standards.

Summary

dsh-future-emotional-ai provides a lightweight emotional AI data query solution for the DSH ecosystem, making it suitable for scenarios without network access or requiring locally cached data. For more details, visit the GitHub repository or the community directory.