building-ai-agent-on-cloudflare

Build AI agents on Cloudflare Workers with the Agents SDK.

1|Updated Mar 12, 2026
One-click install
npx skills add https://github.com/mahou-labs/shiru --skill building-ai-agent-on-cloudflare-mahou-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: building-ai-agent-on-cloudflare
Source: https://github.com/mahou-labs/shiru/tree/main/.agents/skills/building-ai-agent-on-cloudflare
Command: npx skills add https://github.com/mahou-labs/shiru --skill building-ai-agent-on-cloudflare-mahou-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Builds AI agents on Cloudflare using the Agents SDK with state management, real-time WebSockets, scheduled tasks, tool integration, and chat capabilities. Generates production-ready agent code deployed to Workers.

Core Features & Use Cases

  • Stateful edge agents with real-time chat
  • Tool integration and scheduled tasks
  • Production-ready code deployment to Cloudflare Workers

Quick Start

Clone the starter project, install dependencies, and start the development server to deploy your Cloudflare AI agent.

Frequently Asked Questions about building-ai-agent-on-cloudflare

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

FAQPage Schema
How do I build an AI agent on Cloudflare with stateful persistence?

You can build a stateful AI agent on Cloudflare using the Agents SDK to generate production-ready code deployed to Workers. The approach handles state management, durable scheduling, and tool integration for persistent edge agents.

Can I use WebSockets for real-time chat with edge AI agents on Cloudflare?

Yes, real-time chat with edge AI agents on Cloudflare is supported through WebSocket communication. The Agents SDK enables stateful interactions, allowing your Workers deployment to maintain persistent chat sessions with connected clients.

Does the Cloudflare Agents SDK support scheduled tasks and tool calling?

The Cloudflare Agents SDK supports both durable scheduling of tasks and tool calling capabilities. This allows your edge AI agents to execute timed automated actions and integrate external tools seamlessly within the Workers environment.

What is the best way to deploy a production-ready AI agent to Cloudflare Workers?

The best way to deploy a production-ready AI agent to Cloudflare Workers is using the Agents SDK. You clone the starter project, install dependencies, and start the development server to generate deployable edge agent code with state management.

Do I need to manage state separately when building edge agents on Cloudflare?

No, separate state management is not needed when building edge agents on Cloudflare with the Agents SDK. It provides built-in stateful persistence, ensuring your AI agent maintains context across real-time WebSocket interactions and scheduled tasks.

Why use Cloudflare Workers for edge AI agents instead of traditional server deployments?

Cloudflare Workers provides an edge runtime that reduces latency for real-time AI agents compared to traditional server deployments. The Agents SDK leverages this edge architecture to deliver stateful persistence and WebSocket communication closer to users.