Awesome GitHub RepositoriesEdge Function Deployments

supabase-js 是一个全面的客户端库，旨在将前端应用程序与托管的后端即服务 (BaaS) 集成。它提供了一个统一的接口，用于与 PostgreSQL 数据库、身份管理系统、云对象存储和实时数据同步进行交互。 该库具有同构客户端设计，可在浏览器和服务器环境中运行。它通过类型安全的方法脱颖而出，利用 TypeScript 将数据库模式直接映射到客户端定义，并采用基于 PostgREST 的 API 将 JavaScript 调用转换为 RESTful 请求。 该客户端涵盖了广泛的功能，包括通过 OAuth、OIDC 和通行密钥 (passkeys) 进行用户身份验证，以及使用签名令牌进行会话管理。它通过 S3 兼容的存储接口管理大规模二进制数据，并通过基于 WebSocket 的订阅实现实时应用程序更新，以进行数据库更改和状态同步。其他功能包括无服务器边缘函数的调用以及使用向量嵌入执行相似性搜索。

One is a full-stack, cross-platform React framework and multi-target rendering engine designed to build web and native applications from a single codebase. It utilizes a Vite-based build pipeline to manage shared components while providing a type-safe file-system router that automatically generates navigation definitions. The framework distinguishes itself by supporting a hybrid rendering strategy, allowing individual routes to be configured as static sites, server-rendered pages, or single-page applications. It employs platform-specific logic resolution and a shared Vite plugin to coordinate

This project is a Serverless Framework plugin and adapter that enables the deployment of Next.js applications to AWS Lambda@Edge and AWS CloudFront. It functions as a bridge to adapt server-side rendering and API routes for execution on serverless edge compute. The plugin automates the provisioning of cloud infrastructure, including the packaging and deployment of application code to global edge locations. It handles the synchronization of static assets to storage buckets and the mapping of Next.js routes to specialized edge functions to reduce global latency. The project covers wide-ranging

og-image 是一个 Open Graph 图像生成器和 HTML 转图像 API，旨在为在 Twitter、Facebook 和 Slack 等平台上共享链接创建自定义的、数据驱动的预览图像。它作为一个动态社交卡片服务，将 HTML 和 CSS 布局转换为静态图像文件。 该服务自动化了社交媒体预览图像和 Open Graph 元数据资产的生产，允许在无需手动图形设计的情况下，根据页面内容或用户数据创建个性化的共享卡片。 该系统利用布局引擎将 HTML 和 CSS 转换为 SVG 字符串，然后将其渲染为光栅图像。这些资产通过无服务器函数和分布式网络执行进行交付，并结合全局缓存来优化先前生成图像的交付。

This project is an MCP browser automation server that connects large language models to headless cloud browsers. It functions as an autonomous web workflow engine and an LLM web agent interface, enabling the translation of natural language instructions into browser actions and structured data retrieval. The system distinguishes itself through a managed headless browser cloud API that supports concurrent Chromium sessions with integrated stealth modes, CAPTCHA solving, and proxy traffic routing. It utilizes self-healing element selection to maintain automation resilience when page structures c

This project is a Model Context Protocol server and AI agent database connector. It provides a standardized communication layer that allows language models to interact with relational data stores, read database schemas, and manage PostgreSQL database resources. The implementation acts as a serverless host for the Model Context Protocol, deploying on distributed edge functions to connect AI assistants to a project. This enables AI agents to perform database administration, execute SQL queries, and handle schema migrations through an AI-compatible interface. The system covers broader capabilit