cloudflare-agents

Develop and deploy AI agents on Cloudflare Workers using the Agents SDK.

Updated Jan 21, 2026
One-click install
npx skills add https://github.com/HsnSaboor/open-engineer --skill cloudflare-agents-hsnsaboor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cloudflare-agents
Source: https://github.com/HsnSaboor/open-engineer/tree/main/src/skills/bundled/cloudflare-agents
Command: npx skills add https://github.com/HsnSaboor/open-engineer --skill cloudflare-agents-hsnsaboor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the creation and deployment of sophisticated AI agents on Cloudflare Workers, enabling real-time, stateful, and scalable AI applications.

Core Features & Use Cases

  • Agent Development: Build AI agents with state management, real-time WebSockets, and scheduled tasks.
  • Production Deployment: Generates production-ready agent code deployed directly to Cloudflare Workers.
  • Use Case: Develop a customer support chatbot that remembers conversation history, responds in real-time via WebSockets, and can schedule follow-up actions.

Quick Start

Use the cloudflare-agents skill to create a new agent project by running npm create cloudflare@latest -- my-agent --template=cloudflare/agents-starter.

Frequently Asked Questions about cloudflare-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build AI agents on Cloudflare Workers with state management?

You can build AI agents on Cloudflare Workers using the Agents SDK, which facilitates state management, real-time WebSocket communication, and scheduled tasks for scalable edge-deployed services. It generates production-ready agent code directly deployable to the Workers runtime.

What is the best way to deploy stateful AI applications at the edge?

Deploying stateful AI applications at the edge is best achieved using Cloudflare Workers and the Agents SDK, which simplifies building scalable real-time services with integrated state management, WebSockets, and scheduled task capabilities.

Can I use WebSockets for real-time communication in Cloudflare AI agents?

Yes, real-time WebSocket communication is natively supported when building AI agents on Cloudflare Workers. The Agents SDK facilitates WebSocket connections, enabling interactive chat capabilities and real-time responses.

How do I add chat capabilities and conversation history to an AI agent?

You can add chat capabilities and conversation history to an AI agent by utilizing the Agents SDK on Cloudflare Workers, which provides built-in state management to remember conversation context and schedule follow-up actions.

Does the Cloudflare Agents SDK support tool integration and MCP servers?

Yes, the Cloudflare Agents SDK supports tool integration, MCP servers, and workflows. This allows developers to connect external tools and orchestrate complex tasks within edge-deployed AI agents.

How do I get started creating a new AI agent project on Cloudflare?

To get started creating an AI agent project on Cloudflare, run `npm create cloudflare@latest -- my-agent --template=cloudflare/agents-starter` to generate a production-ready codebase using the Agents SDK.