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dsh-memory-palace

Memory Updated 2026.08.27

Run the following command in DeepSeek Harness:

dsh plugin install lovezi0/dsh-memory-palace

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

To install this plugin in DeepSeek Harness, run `dsh plugin install lovezi0/dsh-memory-palace`, and the full source code is available at https://github.com/lovezi0/dsh-memory-palace.

About this plugin

When using AI assistants, we often face the problem of losing memory after a session ends: every time a new conversation starts, the assistant has to learn your project context and preferences from scratch, which significantly hampers efficiency. The dsh-memory-palace plugin is designed to solve this pain point by bringing WorkBuddy's file-based memory system into DeepSeek Harness, providing a human-readable and directly editable Markdown memory library for AI.

The core capability of this plugin is enabling persistent, cross-session memory. It stores all information in simple Markdown files (like MEMORY.md and daily logs), allowing you to view and modify them with any text editor. It supports a dual-layer memory structure—user-level preferences and project-level conventions—and automatically injects relevant memory into each conversation turn, ensuring contextual continuity. Additionally, the plugin offers intelligent automatic recording, log migration, and memory management tools, and can even seamlessly bridge data from existing WorkBuddy projects, making memory maintenance effortless and efficient.

dsh-memory-palace is ideal for users who want their AI assistant to truly remember work details and reduce repetitive communication. Whether you're a developer needing to maintain project context or a researcher hoping for the AI to continuously accumulate domain knowledge, it helps you build a more focused and coherent smart assistant experience. The built-in graphical settings panel also lets you easily adjust memory behavior without any technical background.

Screenshots

Use Cases

  • Automatically save and restore project context across AI assistant sessions
  • Edit and view memory content directly through Markdown files
  • Maintain cross-project user preferences and work conventions

Best For

  • Software developers who need to maintain project context
  • Researchers who want AI assistants to accumulate domain knowledge
  • Professionals who frequently use AI tools and seek efficient work