MultiverseNote

🌌 MultiverseNote

📖 Introduction

MultiverseNote is an open-source project aimed at transforming AI chatbot interactions into structured project management workflows. This initiative enhances knowledge management and version control by converting traditional dialogue into a project-focused format. Through the introduction of a branch management system, users can discuss topics on the main branch and initiate new branches for in-depth exploration when problems arise. This allows for systematic and continuous knowledge development.

The project provides an intuitive interface for displaying all branches and managing them through drag-and-drop. The Minimum Viable Product (MVP) includes identifying and merging branches through numbers, such as 123 or 145.

MultiverseNote addresses the need for an organized and persistent structure in AI chatbot environments, ensuring that discussions evolve into comprehensive project narratives.

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💻 Platform and Development Environment

• Frontend:
  • Developed with Taipy in Python, simplifying frontend development for AI-powered workflows.
  • Provides APIs for integration with external frontend tools, ensuring flexibility and compatibility.
• Backend:
  • Managed exclusively through AI-driven components. All features, including embedding services and memorization services, are implemented as LLM tools.
• Supported Operating Systems: Windows, macOS, Linux

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🤝 How to Join

We welcome developers and contributors interested in AI chatbots, project management, and transforming conversational models into structured workflows to join MultiverseNote. You can participate by:

1. Checking our Issues page to see current tasks requiring assistance.
2. Submitting your contributions via Fork and Pull Request.
3. Joining community discussions to share ideas and improve the project.

For contact information and further details, email yhbcode000@foxmail.com.

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📚 Table of Contents

• Getting Started
• User Manual
• Developer Documentation
• FAQ and Troubleshooting

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🛠 Development Plan

The project is evolving with the following planned milestones:

1. API Exposure: Refine and document API interfaces for seamless integration with external frontends.
2. AI-Powered Management: Enhance LLM tools for embedding, memory, and workflow management.
3. Branch and Workflow Visualization: Expand drag-and-drop functionalities for branch visualization and merging.
4. Scalability: Optimize backend systems to handle large-scale projects and datasets efficiently.

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📜 Open Source License

This project is released under the Apache License 2.0. See the LICENSE file for details.

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