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DshVibeLearning

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install EarzuChan/DshVibeLearning

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

Run dsh plugin install EarzuChan/DshVibeLearning in the DeepSeek Harness terminal to install this plugin; the project is open-sourced at https://github.com/EarzuChan/DshVibeLearning .

About this plugin

In everyday DeepSeek Harness conversations, asking and answering one line at a time rarely builds a lasting knowledge structure. DshVibeLearning turns a single session into a rhythm-driven vibe classroom: type /learn and the workspace shifts into learning mode, where the agent co-builds multi-level outlines with you, delivers interactive lessons and post-class Q&A, schedules review sessions on an FSRS spaced-repetition curve, and generates quick quizzes to check comprehension. Outlines, review tasks, and quizzes all live in a dedicated learning panel on the side of the session tab, refreshable at any time.

Note-taking is the other pillar. Notes are globally available inside DeepSeek Harness, organized into volumes, and carry tiered permissions so you can precisely control which notes the model may read or edit. Together with the outline-learn-review-quiz loop, notes close the circle, turning scattered Q&A into a coherent study flow.

The project is still early (the author calls it a POC); the UI and prompts are being polished continuously, but the core pipeline is largely in place. If you treat your AI assistant as a second brain, enjoy a sense of ritual in immersive learning, and want spaced repetition handled by an algorithm rather than by willpower alone, this plugin is worth a try.

Use Cases

  • Learning a new skill end-to-end with AI-built outlines, interactive lessons, quizzes, and scheduled reviews
  • Turning scattered Q&A into a structured FSRS-based review plan instead of relying on willpower
  • Taking volume-organized notes inside AI sessions with fine-grained read and edit permissions for the model

Best For

  • Developers who treat AI as a second brain and value immersive learning rituals
  • Lifelong learners who want to turn fragmented Q&A into a structured, reviewable knowledge base
  • Geek users exploring the DeepSeek Harness plugin ecosystem and eager to try new tools