Maoxuan-Changzheng distills Mao Zedong's strategic and philosophical methodologies into an interactive AI dialogue system. It targets users seeking a rigorous, structured approach to problem-solving by guiding them through investigation, contradiction analysis, and self-discovery, rather than providing direct answers. The benefit lies in fostering deeper critical thinking and strategic clarity.

How It Works

The system employs a five-stage dialogue protocol: initial investigation via probing questions, reconstructing the core contradiction, applying one of twelve "mind models" derived from Mao's works (e.g., On Contradiction, On Practice), deepening understanding through Socratic questioning, and concluding with a dialectical summary. This approach prioritizes grounding analysis in facts and guiding users to their own conclusions, leveraging LLM APIs for conversational interaction.

Quick Start & Requirements

• Zero-Install: Download and open test.html in a browser, then input an API key.
• Full Frontend: Clone the repository, run npm install, then npm run dev.
• Prerequisites: API keys for Anthropic, DeepSeek, or OpenAI. For full setup: Node.js and npm.
• API Providers: Supports Anthropic, DeepSeek, OpenAI, and custom endpoints.
• Claude Code Skill: Can be integrated by placing SKILL.md in the Claude skills directory.

Highlighted Details

• Employs 12 core "mind models" derived from foundational texts like On Contradiction and On Practice.
• Features a "contradiction reconstruction" framework to differentiate perceived issues from primary contradictions.
• Includes a comprehensive index of 231 original texts from Mao's collected works.
• Supports multiple LLM API providers (Anthropic, DeepSeek, OpenAI) and custom endpoints.

Maintenance & Community

The project is maintained by "山而" (zhangtianruiwork-droid) and builds upon previous open-source efforts. Community links are not explicitly detailed in the README.

Licensing & Compatibility

Licensed under the MIT License. The methodology is based on public domain works, and the code implementation is open-source. Compatible with commercial use under MIT terms.

Limitations & Caveats

The system's effectiveness depends on the underlying LLM and user engagement with its inquiry process. It does not provide direct answers, which may be a limitation for users seeking immediate solutions. The "mind models" are derived from a specific philosophical framework.