About Full stack, modern multi-tenancy web template. Using FastAPI, React, MongoDB, Beanie ODM, Docker, Helm and more.
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Updated
Oct 1, 2026 - TypeScript
About Full stack, modern multi-tenancy web template. Using FastAPI, React, MongoDB, Beanie ODM, Docker, Helm and more.
A lightweight, no-cost, chat agent that answers questions from custom knowledge files. No vector databases, no embeddings, no complex setup - drop in your md files and start chatting
Open source AI chat interface built with Next.js, the AI SDK, and shadcn/ui.
A lightweight, mobile-first Vue 3 chat UI component library built with Vant 4. Features 20+ customizable components including message bubbles, typing indicators, emoji picker, and rich text editor. Perfect for building AI chatbots, LLM interfaces, instant messaging apps, and customer service chat systems. Supports auto-scroll, typewriter effects.
Self-hosted multi-model AI chat app for comparing responses from OpenAI, Ollama, Gemini, DeepSeek, OpenRouter, and LM Studio side by side. Built with SvelteKit, PostgreSQL, and the Vercel AI SDK.
A modular AI framework that lets you stitch together models and tools into an assistant that fits you perfectly.
The Jax WebUi project provides a web-based interface for connecting with your local Ollama server and engaging in chat conversations. It utilizes the Ollama API to facilitate interactions between users and the AI-powered Ollama server, providing an alternative way to interact with the technology.
The missing next-page button for AI chat.
An open-source, production-grade, real-time AI chat application. Engineered to be highly resilient, it features live AI response streaming, persistent state management, and a premium mobile-optimized UI. Built with TypeScript, React, Node.js, and Socket.io.
An intelligent marketing AI engine that connects to multiple platforms to generate targeted campaign strategies and provide natural language insights across customer touchpoints.
A modern fullstack web app with a Flask backend, API playground, and an AI chatbot powered by OpenRouter ( Claude, GPT). Easily deployable and ready for use.
A customizable, themeable AI chat web app built with zero frameworks. Supports Gemini, Groq, & OpenRouter APIs with optional Firebase cloud sync.
(Windows) Add a context menu command to directories, which will copy the content of all files in this directory to clipboard ;)
A chat application with flows, agents and MCP support, that interacts with AI models via the OpenAI-compatible API.
Chatbot built with Flask and Bootstrap that delivers ChatGPT-style Markdown responses, including code blocks, lists, and headings. It features a clean, responsive UI with real-time chat and structured AI output using Google’s gemini-pro model.
Full-stack B2B support dashboard featuring a real-time AI intent-classification chat and live metrics panel. Built with Spring Boot and Angular 18.
An MCP (Model Context Protocol) server that renders interactive HTML inside desktop clients. The conversations renders HTML tables, charts, forms, short video clips, collapsible sections, and numbered outlines. On hosts that support the MCP Apps extension (SEP-1865), cards render in the conversation as iframes, else as self-contained embedded HTML.
A minimal terminal chat client for OpenAI-compatible endpoints
A modern ChatGPT-inspired chat interface portfolio project built with HTML, CSS, and JavaScript for learning and experimentation.
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