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agents-sdk

Develop, configure and deploy AI agents on Cloudflare Workers with routing and durable execution.

Updated May 1, 2026
Search Tags:#automation#serverless#agents#mcp#cloudflare#webhooks#websocket
One-click install
npx skills add https://github.com/legg/AgentLuhmann --skill agents-sdk-legg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agents-sdk
Source: https://github.com/legg/AgentLuhmann/tree/main/.tessl/tiles/cloudflare/skills/skills/agents-sdk
Command: npx skills add https://github.com/legg/AgentLuhmann --skill agents-sdk-legg

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The Skill enables developers to create, configure, and deploy feature-rich AI agents within Cloudflare's serverless environment, streamlining automation and integrations.

Core Features & Use Cases

  • Agent Development: Provides classes and APIs to build stateful and stateless agents for various tasks.
  • Communication & Routing: Supports request routing, WebSocket management, and custom URL patterns for scalable deployment.
  • Integration: Facilitates connection to MCP servers, email routing, push notifications, and webhooks to extend agent capabilities.
  • Workflow Automation: Enables durable background tasks, retries, scheduling, and human approval flows for robust automation solutions.
  • Use Case: Example use cases include deploying chatbots, automation tools, data connectors, and monitoring agents that run reliably at scale.

Quick Start

Implement a new agent by extending the Agent class, define fetch routing, and add callable RPC methods to interact with external services or internal logic.

Frequently Asked Questions about agents-sdk

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

FAQPage Schema
How do I build stateful AI agents on Cloudflare Workers?▼

To build stateful AI agents on Cloudflare Workers, extend the base Agent class, define fetch routing, and implement callable RPC methods to handle persistent state and complex task automation.

Can I manage WebSocket connections and webhooks in a serverless agent architecture?▼

Yes, serverless agent architecture supports WebSocket management, custom URL patterns, and webhooks to enable real-time communication, request routing, and external integrations for scalable deployments.

Does this approach support durable execution for background tasks and retries?▼

Durable execution is fully supported, enabling robust background task automation, retries, scheduling, and human approval flows to ensure complex workflows run reliably in serverless environments.

How do I connect AI agents to MCP servers and external services?▼

Connect AI agents to MCP servers and external services by leveraging built-in integration APIs that facilitate email routing, push notifications, and webhook connections to extend agent capabilities.

What is the best way to deploy scalable chatbots and automation tools on serverless infrastructure?▼

Deploying scalable chatbots and automation tools on serverless infrastructure involves using stateful classes and request routing to manage durable execution and external integrations efficiently at scale.

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