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dsh-personalize

Memory Updated 2026.08.17

Run the following command in DeepSeek Harness:

dsh plugin install Zephyr-vibe/dsh-personalize

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

In DeepSeek Harness, install the plugin with command 'dsh plugin install Zephyr-vibe/dsh-personalize' using the full source URL https://github.com/Zephyr-vibe/dsh-personalize.

About this plugin

When using DSH for conversations, do you wish each interaction could better reflect your personal style? The dsh-personalize plugin addresses this by enabling per-host personalization for all dialogs on your machine. It solves the problem of unifying personalized settings across sessions, allowing you to inject custom instructions, manage local long-term memory, and choose reply-tone presets effortlessly.

At its core, dsh-personalize offers three key capabilities. Custom instructions let you write a block of text that is injected into every session's system prompt, ensuring the AI adheres to your preferences from the start. Local long-term memory supports both manual additions and automatic collection via agent tools, with confirmation prompts for deletions and persistence in local files. Reply-tone presets provide various styles—from warm to professional—or custom options, shaping the conversational tone to your liking. The plugin also features a bilingual interface that switches with DSH language settings.

This plugin is ideal for regular DSH users, such as content creators, developers, or anyone seeking to enhance their conversational AI experience. If you want a simple yet powerful tool to personalize your AI assistant without repetitive setup, dsh-personalize is a perfect fit. It requires zero configuration, focusing on improving your interaction quality while being easy to install and use.

Use Cases

  • Setting global custom instructions for all conversations
  • Collecting and managing long-term memory automatically or manually
  • Choosing preset or custom reply tones

Best For

  • Content creators needing personalized AI interactions
  • Developers pursuing efficient dialogues
  • Everyday users wanting customized assistants