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 Tools
- MCP
- Skills
- Plugin
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
- 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

Agent

Makers provides native support for mainstream Agent frameworks. You can develop directly using your preferred framework. The platform handles foundational dependencies such as session storage and sandbox tools uniformly at runtime, eliminating the need to introduce a new SDK.
The following mainstream frameworks are currently supported:
Claude Agent SDK
OpenAI Agents
LangGraph
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DeepAgents
CrewAI
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Frameworkless Development
If you do not rely on any Agent framework, you can also process requests directly in the handler using the context injected by the platform. The Agent entry file is placed at agents/<name>/index.{ts,py}, and the path is automatically mapped to the corresponding route.
The platform also provides two framework-free starter templates, which can be deployed directly and then developed upon:
Node Agent Starter
Python Agent Starter
For details on the usage of the handler's context, session storage and tool invocation methods, as well as the local debugging and deployment process, refer to Agent - Quick Start.
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Frameworkless Development

Claude Agent SDK	OpenAI Agents	LangGraph

DeepAgents	CrewAI