HugstonOne

Workflow/software for AI inference. Image-to-text / Text-to-text Offline/Online modes for model and data isolation Load LLM models in CLI or server (both integrated with image processing modes) Local API with CORS options GPU (NVIDIA) / CPU support Instant code preview Code editing with preview GGUF support for 10,000+ LLM models Sessions and mini-batches with persistent memory Offline/Online button for complete offline use (cuts all connections) Terminal for advanced usage (with edit mode active) Temporary file upload (only txt and jpeg/png) Export tables to CSV and save sessions/tabs/previews Easy to create web/graphical interfaces Perfect for creating games, tables, maps with data, charts, and diagrams Great coding assistant (tab-to-tab, saves memory, solves CTX size and memory issues) Live news feed while working in the app (can retrieve all news/broadcast/podcast feeds) Ideal for medical research (free medical models from Huggingface or Hugston.com) AI-driven diagnostics for X-rays, MRIs, drawings, 3D modeling, etc. (via image-to-text) Multitasking browser/application, now equipped with AI, no subscriptions or cost concerns Our strongest points: We do not collect user data No forced updates within the app No telemetry If (loading local CLI), no HTTP involved No internet required unless explicitly chosen by the user No API keys needed Supports long-line code input/output (50,000+ tokens tested/tab) No rejections with the right LLM model (potential for 200,000+ code lines, segmented into 1,000-5,000-20,000 lines at a time) Completely free

Hugstonone is a workflow and software designed for AI inference, integrating a code editor with real-time preview capabilities. It supports image-to-text and text-to-text conversions, serves as a coding assistant, and delivers a free, no-data-collection AI application experience.