Deploy your private Gemini application for free with one click, supporting Gemini 1.5, Gemini 2.0 models.
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Updated
Dec 6, 2025 - TypeScript
Deploy your private Gemini application for free with one click, supporting Gemini 1.5, Gemini 2.0 models.
🍌 1000+ selected Nano Banana Pro prompts with images, multilingual support, and instant gallery preview. Open-source prompt engineering library
A simple playground Web UI for using the Gemini Pro Vision and Gemini Pro AI models with Next.js
The Open Framework for autonomous virtual computer agents at scale, fully open-source, safe, auditable, and production-ready.
Summarize group chat with AI, LLM && query group chat, FREE to deploy your own, support img, link meta info, reply to, auto fold result, 支持中文检索.
DeepSeek CLI, a command-line AI coding assistant that leverages the powerful DeepSeek Coder models
Open Source AI Made Simple
Next js app where users can easily create customized forms by providing prompts, and the forms can be published for others to fill out. The admin of the form can access and view all responses submitted.
♊ 50+ selected Gemini prompts with images, multilingual support, and instant gallery preview. Open-source prompt engineering library
Gemini CLI wrapper to serve Gemini models through an OpenAI-compatible API
Full-Stack ASP.NET Core and Next.js to create AI-Generated Short Videos with Captions using only free resources
Experience any location across time with AI-powered visualization
基于electron 和 ant-design-x 的 AI 对话客户端
The playground for all API supported by Chrome AI and Gemini Nano, making it the most comprehensive and user-friendly platform available.
Visualize any web page using built-in AI
Build a powerful Deep Research AI agent like Gemini or ChatGPT. Using Next.js, Vercel AI SDK, and Exa Search API, An intelligent system that generates follow-up questions, crafts optimal search queries, and compiles comprehensive research reports.
QuantumPDF V1.3 enables intelligent conversations with PDF documents. Built with Next.js 15 and React 19, it uses Retrieval-Augmented Generation (RAG) to provide accurate, context-aware responses from your documents.
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