Popular GitHub Repositories for Nestjs

Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. ?

?️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.

NestJS Helper + AI Chatbot Development

你的 AI 求职 co-pilot，优化你的项目、定制你的简历、为你匹配工作，并帮助你做好面试准备。

RushDB is an instant database for modern apps and DS/ML ops built on top of Neo4j

史上最棒的 Go 语言社区存档

Core module for the StockML crypto trading application.

基于 NestJS 的微服务开发启动器，支持部署到 Docker/Kubernetes 集群（开发中）

AIGC Application Platform: Lingmengcan AI, large language model, aigc, stable diffusion, langchainjs, nestjs, vue3, naive ui, DeepSeek, chromadb

A fullstack web application implemented using Angular, NestJS and the Gemini API

AIGC Application Platform: Lingmengcan AI, large language model, aigc, chatgpt, stable diffusion, langchainjs, nestjs, nest, vue, vue3, naive ui, ChatGLM, chromadb

Supercharge your workplace productivity with collaboration enabled AI. Data is fully secured.

Create LLM powered bots and port them into Discord & Slack

ChatAnyFile 是一款强大的全栈应用，允许你利用人工智能与 PDF 文档、图片、视频和音频文件进行交互。

先思智联 - 聊天机器人消息中间件 - Senses Chat Operator is a messaging middleware for chatbots.

Full-stack movie web app with AI-supported, built using NestJS, Next.js, and Expo

AI-powered weather visualization app, blending dynamic forecasts with real-time imagery. Built with Flutter, NestJS, and integrated with ChatGPT and MidJourney via Discord.

基于 openai 的接口服务，方便个人部署各大厂接口API，支持OpenAI、DeepSeek、通义千问等。

基于midjourney-client的api开发的后端项目，前台可视化界面在这里https://github.com/rictt/midjourney-ui-vue3 ；支持在线绘画，中文翻译，设置参数等

A full-stack, microservices-based application for secure document management, enabling users to upload, parse, index, and query various file types through advanced NLP and RAG agents. Built with Docker and Kubernetes for scalability, and integrates Elasticsearch, Redis, and AWS S3 for efficient storage and search capabilities.