🦙 Local and online AI hub

✨ AI interface for tinkerers (Ollama, Haystack RAG, Python)

A single-file tkinter-based Ollama GUI project with no external dependencies.

Your gateway to both Ollama & Apple MlX models

Desktop UI for Ollama made with PyQT

Enables users to interact with the LLM via Ollama by implementating a client-server architecture utilizing FastAPI as server-side framework and Streamlit for user interface.

Simple Ollama GUI app written in Python. Everything you need for your LLM.

SparkOllama is your go-to ollama web-UI interface powered by Streamlit for seamless, AI-powered conversations. Built on Ollama's advanced LLM, it delivers smart, dynamic responses effortlessly. Whether for work or fun, SparkOllama makes engaging with AI simple and intuitive.

A simple PDF AI chatbot which runs locallly on your machine with streamlit UI

Ollamate is an AI assistant using Ollama to run your favorite local LLMs.

Spring break project for easier access to 'ollama' language models.

Desktop launcher and system tray application for Ollama and Open-WebUI services

🚀 Professional Ollama Desktop GUI with Auto-Setup, Voice Synthesis & Smart Model Management | Beautiful dark UI | 20+ AI models | Real-time streaming | Save/Load chats | TTS | Cross-platform | Open Source

This desktop application, built with customtkinter, provides an interactive chat interface for local Large Language Models (LLMs) served via Ollama.

A privacy-first Flask desktop UI for Ollama. Transparent and auditable offline Ai access for self employed professionals and non-profits in highly regulated industries who need data privacy and don't want to blindly trust cloud providers.

A simple GUI for local hosted LLM (via Ollama)

A complete LLM-based medical symptom classifier that processes user symptoms through a sophisticated pipeline : User Query → RoBERTa Classifier → Symptom Retriever (RAG) → Prompt Builder → Local LLM → Final Output

A transparent, offline-first and privacy-first AI console where you can talk, type, show images, adjust parameters and create specialized assistants. Uses Flask for the backend, Whisper for Speech-to-Text (STT), Kokoro for Text-to-Speech (TTS), and Ollama for the Large Language Models (LLMs). Easy to customize using Ai. Double click to run.

A.I. Setup and Launcher based on Ollama writen in Python. Choose different models to install, update the already installed models, run on Shell or Launch Gui, Customize text, font, colors for user and A.I. etc

🛠️ Simplify your AI interactions with Codeex, an open-source desktop interface for managing 20+ AI models, featuring voice support and a sleek dark UI.