quantyverse
MCP Serverquantyversepublic

quanty_doc

Documentation about Quanty . A AI Application powered by Ollama as LLM Backend.

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About This Server

Documentation about Quanty . A AI Application powered by Ollama as LLM Backend.

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

Quanty – The AI Chat Application

Quanty is a modern, AI-powered chat application with session management, designed for productive and secure AI conversations. The app combines an elegant UI with powerful Ollama backend components and is part of the Quantyverse ecosystem.


✨ Features

  • AI Chat with Ollama Backend
    Uses the qv-ollama-sdk for fast, local LLM backend powered by Ollama.
  • Session Management
    Organize, save, and manage multiple chat sessions in parallel.
  • Intuitive UI
    Modern, responsive design with NiceGUI and a native sidebar (drawer).
  • Quick Session Switching
    Easily switch, delete, or start new sessions.
  • Build with Open Source Components & Modular
    Clear separation of UI, backend, and session logic for maximum flexibility.

🚀 Roadmap

  • v1.0 (MVP)
    • Session management (UI & logic)
    • Ollama backend integration (qv-ollama-sdk)
    • Modern UI with NiceGUI
    • Session switching, deletion, creation
    • Persistent storage (qv-session-manager)
  • v2.0
    • MCP (Model Context Protocoll) Support

📥 Download & Access

The app is currently available at:

👉 quantyverse.ai

There you will always find the latest version, installation instructions, and further resources.


📚 More Information

  • Documentation:
    Detailed technical documentation and API descriptions coming soon.
  • Community & Support:
    Questions, feedback, or feature requests? Open an issue or contact us via the website.

🛠️ Tech Stack

  • NiceGUI – UI Framework
  • qv-ollama-sdk – AI Backend
  • qv-session-manager – Session Management
  • Python 3.10+

License

Quanty is not open source, but it is free to use.


Made with ❤️ by quantyverse.ai

Quick Start

1

Clone the repository

git clone https://github.com/quantyverse/quanty_doc
2

Install dependencies

cd quanty_doc
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerquantyverse
Repoquanty_doc
LanguageTypeScript
License-
Last fetched8/10/2025

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