Product Introduction
Quick Start
- Agent Development
- Importing a Git Repository
- Starting From a Template
- Direct Upload
- Start with AI
Framework Guide
- Agent
- Frontends
  - Vite
  - React
  - Vue
  - Hugo
  - Other Frameworks
- Backends
- Full-stack
  - Next.js
  - Nuxt
  - Astro
  - React Router
  - SvelteKit
  - TanStack Start
  - Vike
- Custom 404 Page
Project Guide
- Project Management
- edgeone.json
- Configuring Cache
- Building Output Configuration
- Error Codes
Build Guide
Deployment Guide
- Overview
- Create Deploys
- Manage Deploys
- Deploy Button
- Using Github Actions
- Using Gitlab CI/CD
- Using CNB Plugin
- Using IDE PlugIn
- Using CodeBuddy IDE
Domain Management
- Overview
- Custom Domain
- HTTPS Configuration
  - Overview
  - Apply for Free Certificate
  - Using Managed SSL Certificate
- Configure DNS CNAME Record
Observability
- Overview
- Metric Analysis
- Log Analysis
Functions
- Overview
- Edge Functions
- Cloud Functions
  - Overview
  - Node.js
  - Python
  - Go
Agents
- Overview
- Quick Start
- Conversation Storage
- Observability
- Sandbox Tool
  - Overview
  - Using the Agent Framework
  - Sandbox Atomic API
  - Network Search Tool
- Agent Authentication
Models
- Overview
- Models and Vendors
  - Overview
  - Using Vendor Keys
    - OpenAI
    - Anthropic
    - Google AI Studio
    - DeepSeek
    - MiniMax
    - Hunyuan
    - Zhipu
    - MoonShot AI
- FAQs
Storage
- Overview
- KV
- Blob
Middleware
AI-Native Development
- Skills
- MCP
Copilot
- Overview
- Quick Start
API Token
EdgeOne CLI
Message Notification
Integration Guide
- AI
  - Dialogue Large Models Integration
  - Large Models for Images Integration
- Database
  - Supabase Integration
  - Pages KV Integration
- Ecommerce
  - Shopify Integration
  - WooCommerce Integration
- Payment
  - Stripe Integration
  - Integrating Paddle
- CMS
  - WordPress Integration
  - Contentful Integration
  - Sanity Integration
  - Payload Integration
- Authentication
  - Supabase Integration
  - Clerk Integration
Best Practices
- Adding an AI Chat Assistant to a Website
- AI Dialogue Deployment: Deploy Project with One Sentence Using Skill
- Using General Large Model to Quickly Build AI Application
- Use the DeepSeek model to quickly build a conversational AI site
- Building an Ecommerce Platform with Shopify
- Building a SaaS Site Using Supabase and Stripe
- Building a Company Brand Site Quickly
- How to Quickly Build a Blog Site
Migration Guides
- Migrating from Vercel to EdgeOne Pages
- Migrating from Cloudflare Pages to EdgeOne Pages
- Migrating from Netlify to EdgeOne Pages
Troubleshooting
FAQs
Limits
Pricing
Contact Us
Release Notes

Product Introduction

About the Brand Upgrade:
EdgeOne Pages has been upgraded to EdgeOne Makers. Building upon its existing full-stack Web development capabilities, it now adds native support for AI Agents. The original product logic and features remain unchanged.
Product Overview
EdgeOne Makers is a Web and Agent development and deployment platform built on the Tencent EdgeOne infrastructure. It provides a one-stop development and deployment service covering frontend pages, dynamic APIs, and Agents. By leveraging the global acceleration of the edge network, it ensures applications achieve fast and stable access experiences.
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Strengths
Modern deployment process: Provides Git connection, CLI, MCP, and IDE plugin to implement efficient, automated full-stack deployment, helping projects achieve rapid iteration and continuous delivery.
Global ultra-fast experience: It leverages the EdgeOne Global Edge Network to achieve global acceleration and intelligent caching for both static resources and dynamic content, ensuring a smooth user experience.
Serverless functions: They provide a serverless deployment experience from edge to cloud functions, requiring no management of underlying infrastructure and scaling efficiently based on business workload.
Deep integration with full-stack frameworks: Zero-configuration support for all features of mainstream full-stack frameworks like Next.js, combined with cloud-edge integration architecture to empower developers in building high-performance applications.
Agent-native development: It features a built-in runtime, sandbox, conversational memory, model gateway, and observability, is compatible with mainstream frameworks, and helps rapidly build production-grade Agents.
Scenarios
Web full-stack application development and hosting: It supports full-stack projects built with frameworks like Next.js, static sites generated by frameworks like Astro, and single-page applications developed with frameworks like React.
Agent application development and hosting: It supports the development and deployment of mainstream Agent frameworks like Claude and LangGraph, enabling rapid implementation by leveraging the platform's built-in capabilities such as runtime, sandbox, and conversational memory.
Agile development and continuous delivery: It supports high-frequency iteration and continuous delivery from development and debugging to deployment by leveraging development tools such as CLI, MCP, Skills, and IDE plugins, combined with Git and CI/CD integration.
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Product Overview
Strengths
Scenarios