This project provides a FastAPI wrapper for interacting with Google Bard, a conversational AI by Google. It allows users to send messages to Google Bard and receive responses through a simple API.

A multimodal chat interface with many tools.

A text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include multi-server, dynamic model switching, streaming responses, tool management, human-in-the-loop, thinking mode, full model parameters configuration, custom system prompt and saved preferences. Built for developers working with local LLMs.

Frontend for MCP (Model Context Protocol) Kit for Go - A Complete MCP solutions for ready to use

An Ollama client built with Svelte 5 and SvelteKit. Chat completely local and client-side with a friendly interface!

A lightweight, intuitive templating language designed for interactive use in LLM chat sessions.

Simple MLX + Streamlit Chatbot

Lightweight MCP client that uses a local Ollama LLM to query multiple MCP servers defined in config.json

🦙 chat-o-llama: A lightweight yet powerful web interface for Ollama with markdown rendering, syntax highlighting, and intelligent conversation management. Zero external dependencies, perfect for privacy-focused local AI development.

A modern, local-first AI chat interface built with Tauri, React, and Rust. Secure, private, and supports multiple LLM providers. 🚀

A Chat Interface to make your own chat bots with personalities using the Google Gemini API

LocalPrompt is an AI-powered tool designed to refine and optimize AI prompts, helping users run locally hosted AI models like Mistral-7B for privacy and efficiency. Ideal for developers seeking to run LLMs locally without external APIs.

Sparrow Interface served from Wifi endpoints on ducks and Sparrow App

A Docker-based chat interface that communicates locally with an Ollama instance using React (Vite) and a FastAPI backend. Ideal for quick experiments with LLMs on your own computer.

SwiftUI library for macOS to render markdown with selectable text, highlighting, and actionable button positioning.

Privacy-first web interface for local AI models. Clean, minimal UI for Ollama with extensible plugin system. No data leaves your device.

💻🔒 A local-first full-stack app to analyze medical PDFs with an AI model (Apollo2-2B), ensuring privacy & patient-friendly insights — no external APIs or cloud involved.

AI-powered educational chat platform built using React.js. The application simulates real-time educational discussions between users and an AI tutor, offering a seamless and responsive UI experience

"A simple and lightweight client-server program for interfacing with local LLMs using ollama, and LLMs in groq using groq api."