OpenZeppelin starter-kit based GSN tutorial for a Chat App

This is the starter code for an example of storing a github repo in a vector store and chatting with it as a knowledge base

A base starter for chat apps on Cloudflare Workers AI platform

An Eleventy-based Twitch scenes starter with a chat-controlled game! Includes ComfyJS with command responses, and 6 scenes including guest support.

Production-ready starter kit for building and deploying AI applications powered by LangChain/LangGraph — complete with streaming chat, robust authentication, a Kong-based multi-model gateway, and modern cloud-native infrastructure easily deployable on Red Hat OpenShift.

Amazon announced a new device called the Glow during its fall product launch event, a $250 video chatting gadget that allows children to virtually interact with loved ones by playing games and reading books together. Although the company has been selling the Echo Dot Kids Edition for years, it's rare for Amazon to develop an entirely new device designed specifically for children. While it's new for Amazon, the general concept behind Glow might sound familiar -- especially if you've ever used the storytelling app Caribu or the Osmo brand of educational tablet accessories. That's because although they're different products, they share a lot of underlying qualities with Amazon's Glow. Caribu is designed to help kids play games and read stories with relatives remotely through an interactive video chatting platform, and Osmo is all about incorporating real-world game pieces into educational games you can play on a tablet. Read more: Amazon unwraps privacy features as it tries to roll deeper into your home To understand the similarities, it's important to know how the Glow works. Amazon Glow is an Alexa-free video chatting device that consists of an 8-inch upright display, a camera with a built-in shutter and a projector. The device isn't available to the public yet and can only be obtained via invitation since it's part of the company's Day 1 Editions program. The basic premise behind the Glow is simple. Children can video chat with relatives and loved ones on the device's screen, while a projector conjures up a virtual play area for games and activities that's displayed on a silicone mat in front of them. The person on the other end of the call can participate in that game or puzzle on their tablet through the Glow app.The activities are also designed to combine real-world elements with digital ones. For example, in a demo video on Amazon's website, kids can be seen arranging physical game tiles, drawing pictures with their finger on the play mat and moving digital puzzle pieces on the mat -- all while a grandparent or aunt on the other end cheers them on. The device will come with a one-year subscription to Amazon Kids Plus and will feature content from Disney, Sesame Street, Barbie, Pixar and Hot Wheels. The Caribu app is built on a similar concept, but with a different execution: It's an app with the same goal, not a purpose-built device. Caribu is meant to make the video calling experience more interactive by enabling children and loved ones to share experiences like bedtime stories, coloring sheets and games virtually. It's essentially like a Zoom for kids that's available on iOS, Android and the web, but with built-in activities. The app has been around since 2016, but grew in popularity throughout the pandemic as relatives looked for ways to connect with little ones they couldn't see in person. Maxeme Tuchman, Caribu's CEO and co-founder, doesn't seem bothered by Amazon's entry into the space. "What I can say is that Caribu obviously identified a problem in the market, started a trend, and now everyone wants in," Tuchman said in a statement.Osmo, on the other hand, is more about turning your tablet into an interactive device for educational games and activities rather than social interaction. Osmo's system involves slotting a compatible tablet into a base that enables it to stand upright in portrait mode. You would then place a red reflector piece over the device's camera. This reflector enables the tablet to detect physical game pieces so that these real-world elements can be incorporated into the game on screen. Games designed for the Osmo cover a range of skills, including coding, literacy, critical thinking, drawing, math and science. Certain Osmo bundles are priced similarly to the Amazon Glow, but the starter kit -- which includes the base, reflector, and four games aimed at children ages 3 to 5 -- costs just $79. Read more: Always Home Cam: Amazon's flying Ring drone might be tricky to get your hands on Like Caribu, Osmo isn't an apples-to-apples competitor to Amazon Glow. Amazon seems focused on the technology while it relies on big-name partners for most of the content, unlike Osmo. And Osmo is centered on solo playtime and learning, rather than shared experiences. There are also some fundamental differences in how the products work. Osmo doesn't project images onto a nearby surface like the Glow. Instead it uses the reflector to send an image of game pieces or a child's drawing to the tablet's camera so it can be incorporated into the game. Amazon also specifically mentions that the Glow itself isn't a toy, despite its similarity to products that are considered to be part of the toy market.Still, the core appeal of both products comes down to combining an on-screen experience with real-world play elements. As is the case with Caribu, the concepts are just carried out in different ways. Similar to Tuchman, Osmo co-creator Pramod Sharma didn't express concern about increased competition from Amazon. "We're excited to see Amazon join the play movement we started with Osmo over seven years ago," Sharma said via email. Amazon's device also isn't the first experimental computing device to rely on a projector as a central part of the interaction. You might remember HP's Sprout Windows 8 all-in-one PC from 2014, which projected a second screen onto a 20-inch touch sensitive mat situated in front of the computer for drawing and other creative work. It's easy to understand why Amazon would develop a product like the Glow at a time like this. The pandemic has normalized remote learning and fueled interest in connecting with family members virtually. At the same time, technology is playing a bigger role in the global market for educational toys, which is expected to grow from $19.2 billion in 2020 to $31.62 billion by 2026, according to Arziton Advisory and Intelligence. Toys that use augmented reality to overlay digital graphics on real-world objects will likely boost the demand for learning toys year-over-year, says the report.Tech companies are also increasingly tailoring their products to appeal to younger audiences. Facebook offers a version of its Messenger chat app for children, and the company has been building a version of Instagram for kids, too. (Those plans were recently put on hold following backlash over the concerns that come with exposing younger age groups to social media.) Apple launched parental controls for the iPhone in 2019 and released Swift Playgrounds in 2016, a game aimed at teaching children how to code in Apple's Swift programming language. It's too soon to know whether the Amazon Glow will be a success. Amazon's Day 1 Editions program is meant to provide access to new products before they're ready for prime time, meaning they may not be ready for widespread release. Not all products in the program make it past the Day 1 Editions phase either. The Echo Loop, an Alexa-powered smart ring, never graduated from Day 1 Editions to become a real product, for example.We'll have to wait until we've tried Amazon's new child-friendly gadget to know how it stacks up against existing products.

A starter kit for building a socket.io based chat app with your frontend framwork of choice.

Explore the innovative angular-gpt-starter-kit, a dynamic tool for creating document-based Q&A applications using GPT and LangChain, integrated with Angular, Ionic, and Capacitor. This kit offers a sleek, Angular-based chat interface, leverages Google Cloud and Firebase for data retrieval, and incorporates HNSWLib for advanced vector storage.

This is a LLM chat based on LangChain + Next.js Starter Template

TanStack Chat is a modern AI chat starter built with React 19, TanStack Start, and TanStack Router, featuring streaming Claude 3.5 Sonnet conversations, rich markdown support, Tailwind CSS 4 styling, modular file-based routing, optional Convex persistence, and production-ready setup with Netlify deployment and Sentry monitoring.

About the customer The client is a German-based company specializing in Adobe CQ development (also known as CQ5). About the project The project is a social network web application built upon AEM 6.1-6.3, including facebook-like features such as friendship requests, profiles, comments, likes etc, Instagram features like photo gallery sharing and an instant messaging chat. This application shall be extended by new features like dashboards, dynamic content and integration of external systems. We have an international team and use the latest technologies in AEM sphere. About the team One team of 4 AEM developers, 2 Frontend developers and 3 Project Owners who are responsible for testing. Responsibilities New components development New features evaluation and estimation Integration with third-party services, bug fixing, code review Scrum meeting participation Required Skills At least 2 years of experience with Java Working experience with Java8, AEM 6.1- AEM 6.3 Good knowledge of MongoDB Experience with Sightly Understanding of TeamCity Knowledge of OOP principles Experience with code versioning tools, such as Git High attention to detail, self-starter, organized, able to manage own workload At least Intermediate level of English

Forkable MSA starter for adding AI chat with React, Spring Cloud Gateway, FastAPI, Aegra, and LangGraph

firebase basic chatting application

Simple starter for building a cli based chat with Ollama

Backend implementation for LaTeX chat course project. Based on nestjs-prisma-starter project

Class based chat that was converted to hook. It can be used as a starter template in building chat application

Production-ready TypeScript chat app starter with TanStack Start, NestJS, Socket.IO, room-based messaging and cursor-paginated chat history on PostgreSQL

A CRUD-based chat app using MongoDB, Express, and EJS, designed as a starter project for learning MERN backend.

This is a starter for creating a LLM based chat app with python (FastAPI) as backend and Next.js as frontend

Hassan Chat App is a Flutter-based chat starter inspired by GB WhatsApp features. Includes Firebase Authentication, Firestore chat, storage placeholders for media, simple UI, and theme/privacy placeholders. Safe, independent, Android & iOS ready for developers to build upon.

A real-time chat application built with Supabase for authentication and live messaging, styled with shadcn/ui and Superbase UI components. Fast, modern, and fully responsive — perfect as a starter template for chat-based apps.

Starter kit per un agente AI orientato all'energia: carica dati di consumo (CSV), visualizza grafici, ottieni analisi base e chat intelligente per suggerimenti di risparmio.

Production-ready frontend starter template for AI/GenAI applications built with React, TypeScript, Tailwind, and shadcn/ui. Includes reusable patterns for chat, RAG, and agent-based workflows.

A Nest.js + MongoDB starter template with Swagger docs, JWT auth, EJS-based email module, AWS S3 uploads, Stripe payments, comments/likes with nested replies, WebSocket chat.

Spring Boot Starter for accurate text tokenization for GigaChat models (v3/ultra). Supports token calculation for chat messages, smart text trimming based on punctuation marks, and auto-tuning via YAML. Based on DJL and HuggingFace.

Open Policy AI Advisor is a Spring Boot starter that integrates Open Policy Agent (OPA) for policy evaluation and enforcement in your applications. This starter simplifies the process of adding open policy-based advisors capabilities to your AI chat client.

Production‑ready LLM chat starter with authentication (email/password + Google), onboarding (default org + admin), ChatGPT‑style UI, organization management, credit‑based chat (Gemini), and real‑time notifications. Frontend runs on Vercel, backend on Render, database on PostgreSQL (e.g., Supabase

Minimal AI tool interface (HTML, CSS, Vanilla JS) with chat prompt input, results panel and sidebar history. Inspired by ChatGPT and Claude. Starter UI for AI apps and prompt-based tools.

This repository contains a complete, opinionated starter for building a production-ready PDF-based Chat RAG Agent with features such as versioning, partitioning, incremental chunk updates, source citations, and a LangGraph workflow.

“AI Tutor App — A Flask-based web application that offers interactive learning with AI-powered chat. Includes core features for online courses and AI-driven responses. This is the starter project for deploying an AI tutor platform.”