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mindbridge

v1.0.1

Published

Bridge the gap between AI output and human understanding. Teaching AI agents to communicate the way human brains actually learn.

Readme

MindBridge

Bridge the gap between AI output and human understanding.

AI generates information at superhuman speed and density. Human brains are biological — they can only absorb information through specific cognitive patterns. MindBridge solves this mismatch.

The Problem

When AI explains something complex, it often dumps a wall of text that's technically correct but cognitively overwhelming. The bottleneck is not the AI — it's the human brain.

The Solution

MindBridge is a collection of markdown files that teach AI agents how to communicate in ways that align with how human brains actually learn. It's built on 4 research-backed learning science frameworks:

| Framework | Researcher | Core Idea | |-----------|------------|-----------| | Cognitive Load Theory | John Sweller | Working memory holds ~4 chunks. Don't overload it. | | Feynman Technique | Richard Feynman | If you can't explain it simply, you don't understand it. | | Multimedia Learning | Richard Mayer | Words + visuals > words alone (with rules). | | Progressive Disclosure | Nielsen Norman Group | Show essentials first, details on demand. |

How It Works

MindBridge is zero-code, zero-dependency, zero-install. It's just markdown files that any AI agent can read.

You + AI Agent
      │
      │  Feed these markdown files to your agent:
      │
      ├── SPEC.md              → How to structure content for human brains
      ├── domains/general/     → Universal learning methods
      ├── templates/default.md → Output style guide
      └── skills.md            → Commands: /learn, /html, /md

Quick Start

  1. Copy SPEC.md and skills.md into your AI agent's context
  2. Use the commands:

| Command | What it does | |---------|-------------| | /learn | AI teaches you using the best format for the content | | /html | Generate a rich HTML preview and open in browser | | /md | Generate a Markdown document |

Works with any AI agent — GitHub Copilot CLI, Claude Code, Cursor, ChatGPT, or anything that reads text.

Project Structure

mindbridge/
├── README.md                    # You are here
├── SPEC.md                      # Core specification (4 frameworks)
├── skills.md                    # Command router (/learn, /html, /md)
├── domains/
│   ├── general/METHOD.md        # Universal learning methods
│   └── _template/METHOD.md      # Template for contributors
├── templates/
│   ├── default.md               # Default output style
│   └── _template.md             # Template for contributors
└── examples/                    # Before/after demos

Contributing

MindBridge is 100% markdown. Anyone can contribute — no coding required.

Add a Learning Domain

  1. Copy domains/_template/METHOD.md
  2. Fill in the research basis and learning principles for your domain
  3. Submit a PR

Add an Output Template

  1. Copy templates/_template.md
  2. Describe the visual style and layout rules
  3. Submit a PR

Philosophy

  • Human brain is the bottleneck, not AI. Design for the reader.
  • Research-backed, not opinion-based. Every principle cites a framework.
  • Zero dependencies. Just markdown. Any AI can read it.
  • Community-driven domains. Experts contribute how their field is best learned.

License

MIT