HugstonOne Enterprise Edition

The free AI in A Box for all with installer (exe, msi) and portable for windows.

https://github.com/user-attachments/assets/7830fa55-b1f6-4264-b5d3-ac6e5f64e9d0

https://github.com/user-attachments/assets/89a094ec-48cd-45ad-8743-c9427f43abc9

https://github.com/user-attachments/assets/7240700e-9f37-4001-b5f8-f156ec7716c4

A Workflow/Software for AI inference.

• Image to text / Text to text
• Offline/Online Mode for model and data isolation
• Load LLM Models in CLI or SERVER (both with image processing mode integrated
• Local API with CORS option
• GPU (Nvidia) / CPU support
• Instant Preview of the code
• Code Editior also with preview
• GGUF support 10000+ LLM Models
• Session and minisessions with persistent memory
• User data memory with option On/Off
• Offline/Online Button for completely offline (cutting all connections)
• Terminal for advanced use (with edit mode active)
• Upload files (only TXT and JPEG/PNG) for now
• Export tables in CSV and save sessions/tabs/preview
• Easy to create Webpages/Graphic interfaces
• Great for creating games, tables, maps with data, charts, plots
• Good coding assistant (hopping from tab to tab, conserving memory, solving the ctx size and memory issue)
• Live news feed on the app while working (can retrieve all news/radio/podcast feeds)
• Ideal for Medical Research (with free medical models available from HuggingFace or Hugston.com)
• AI-powered diagnostics for X-rays, MRI, drawings, 3D modeling, etc. (via Image-to-Text)
• Multitasking like a browser/app, now equipped with AI—no subscription or worry about costs

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Our Strongest Points:

• We don’t collect user data
• No forced updates included in the app
• No telemetry
• No HTTP involved (load with local CLI)
• 1 click Install (Windows)
• No internet required unless explicitly chosen by the user
• No API key required
• Supports long lines of code Input/Output (50000+ tokens tested/tab)
• No refusal Using the right LLM model (potential for 200,000+ code lines, divided into 1000-5000-20000 lines at once)
• Completely free

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Getting Started

First-time users need to request the activation code via email to:

• HugstonOne@Hugston.com (Check spam if the email is delayed, as we are a new service.) Requirements: Visual c++ (Or Visual studio with c++).

<img width="1820" height="958" alt="Screenshot 2025-06-25 132746" src="https://github.com/user-attachments/assets/dea7454d-9cd8-4f72-bcac-57ec60027a2d" />

🔗 Download the App: Hugston Website

Enjoy!

Some examples: Of the previous versions

<img width="1823" height="977" alt="Screenshot 2025-07-16 133301" src="https://github.com/user-attachments/assets/ce430f46-93f4-4bc8-bbfc-031cf15cc4bb" /> <img width="1823" height="978" alt="Screenshot 2025-07-11 181652 png" src="https://github.com/user-attachments/assets/4a47c740-7a77-4c51-8529-987a3607ed78" /> <img width="1657" height="975" alt="Screenshot 2025-07-11 181324 png" src="https://github.com/user-attachments/assets/a442296a-4279-43f7-8458-53991b9f1558" /> <img width="1655" height="975" alt="Screenshot 2025-07-11 181253 png" src="https://github.com/user-attachments/assets/03d14535-9342-49b4-baef-bd09f24fde55" /> <img width="1823" height="976" alt="Screenshot 2025-07-01 114036 png" src="https://github.com/user-attachments/assets/d0cd1c43-b331-4b9b-91b5-d929ca80d1fd" /> <img width="1823" height="977" alt="Screenshot 2025-07-01 103250 png" src="https://github.com/user-attachments/assets/c31e2c37-49c6-4ada-963b-86ad4870299e" /> <img width="1823" height="972" alt="Screenshot 2025-06-29 235430 png" src="https://github.com/user-attachments/assets/0639fb14-1f17-411a-b425-a9cd46a2924e" /> <img width="1823" height="973" alt="Screenshot 2025-06-26 141843 png" src="https://github.com/user-attachments/assets/99719c47-5c9a-4c8c-a5d7-f790a45b01fb" /> <img width="1823" height="977" alt="Screenshot 2025-06-25 215936 png" src="https://github.com/user-attachments/assets/b2f6ee1d-6219-426e-8da6-657feb09943d" />

Future goals:

• 1 To make it more accessible to users
• 2 Connecting to Hugston Repository for curated models
• 3 Adding chat between HugstonOne Users for real time talk
• 4 Integrating better memory options
• 5 Build for Linux, MacOs, Mobile Platforms.

Credits

Many thanks for the great job to:

• Co-authored-by: Leyden Fernandez Vidal https://github.com/microbioinformatic

Acknowledgments

This project bundles the following third-party libraries:

• llama.cpp
• Electron