Agents SDK

OpenAIOfficialCreated by CloudflareDistributed by OpenAI

Skill
Tool integration
Cloud and DevOps
Apache-2.0
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From the author

Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

— the description by Cloudflare

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The Agents SDK provides a framework for building stateful, durable AI agents directly on Cloudflare Workers. It simplifies the development of complex agentic applications by offering built-in state management, RPC capabilities via WebSockets, durable workflows, and seamless integration with MCP servers. The SDK is designed to handle real-time interactions, scheduled tasks, and email routing, while providing React hooks for easy client-side integration.

What it does

Enables creation of stateful agents with SQLite-backed persistence.
Exposes agent methods as callable RPC endpoints via WebSockets.
Supports durable, multi-step background workflows.
Integrates with MCP servers for expanded tool capabilities.
Provides React hooks for real-time agent communication.
Handles scheduled tasks and cron jobs within the agent lifecycle.

When to use it

When building stateful AI agents on the Cloudflare Workers platform.
When you need durable, multi-step workflows for background processing.
When implementing real-time WebSocket-based communication between clients and agents.
When connecting to or building MCP servers for agent tool use.
When you require persistent state that auto-syncs to client applications.

Advantages

Native integration with Cloudflare Workers and Durable Objects.
Simplifies complex state management and persistence.
Reduces round-trips with callable RPC methods.
Provides robust support for resumable streaming and durable workflows.
Streamlines client-side development with dedicated React hooks.

Usage examples

“How do I define a callable method in my Cloudflare Agent?”: You use the @callable() decorator on your class method, which allows it to be invoked remotely via WebSocket RPC from a client.
“How can I persist state in my agent?”: You use the this.setState() method within your Agent class, which updates the SQLite-backed state and triggers any defined validation or update hooks.
“How do I connect a React frontend to my agent?”: You use the useAgent hook from the agents/react package, providing the agent name and instance identifier to manage state and communication.
“Can I run background tasks in my agent?”: Yes, you can use the this.schedule() or this.scheduleEvery() methods to trigger one-time or recurring tasks, or use AgentWorkflow for durable multi-step processes.

Install

Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/openai/agents-sdk/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip agents-sdk.zip -d .agents/skills

Documentation by Cloudflare

Cloudflare Agents SDK

Your knowledge of the Agents SDK may be outdated. Prefer retrieval over pre-training for any Agents SDK task.

Retrieval Sources

Fetch current docs from https://github.com/cloudflare/agents/tree/main/docs before implementing.

Topic	Doc	Use for
Getting started	`docs/getting-started.md`	First agent, project setup
State	`docs/state.md`	`setState`, `validateStateChange`, persistence
Routing	`docs/routing.md`	URL patterns, `routeAgentRequest`, `basePath`
Callable methods	`docs/callable-methods.md`	`@callable`, RPC, streaming, timeouts
Scheduling	`docs/scheduling.md`	`schedule()`, `scheduleEvery()`, cron
Workflows	`docs/workflows.md`	`AgentWorkflow`, durable multi-step tasks
HTTP/WebSockets	`docs/http-websockets.md`	Lifecycle hooks, hibernation
Email	`docs/email.md`	Email routing, secure reply resolver
MCP client	`docs/mcp-client.md`	Connecting to MCP servers
MCP server	`docs/mcp-servers.md`	Building MCP servers with `McpAgent`
Client SDK	`docs/client-sdk.md`	`useAgent`, `useAgentChat`, React hooks
Human-in-the-loop	`docs/human-in-the-loop.md`	Approval flows, pausing workflows
Resumable streaming	`docs/resumable-streaming.md`	Stream recovery on disconnect

Cloudflare docs: https://developers.cloudflare.com/agents/

Capabilities

The Agents SDK provides:

Persistent state - SQLite-backed, auto-synced to clients
Callable RPC - @callable() methods invoked over WebSocket
Scheduling - One-time, recurring (scheduleEvery), and cron tasks
Workflows - Durable multi-step background processing via AgentWorkflow
MCP integration - Connect to MCP servers or build your own with McpAgent
Email handling - Receive and reply to emails with secure routing
Streaming chat - AIChatAgent with resumable streams
React hooks - useAgent, useAgentChat for client apps

FIRST: Verify Installation

npm ls agents  # Should show agents package

If not installed:

npm install agents

Wrangler Configuration

{
  "durable_objects": {
    "bindings": [{ "name": "MyAgent", "class_name": "MyAgent" }]
  },
  "migrations": [{ "tag": "v1", "new_sqlite_classes": ["MyAgent"] }]
}

Agent Class

import { Agent, routeAgentRequest, callable } from "agents";

type State = { count: number };

export class Counter extends Agent<Env, State> {
  initialState = { count: 0 };

  // Validation hook - runs before state persists (sync, throwing rejects the update)
  validateStateChange(nextState: State, source: Connection | "server") {
    if (nextState.count < 0) throw new Error("Count cannot be negative");
  }

  // Notification hook - runs after state persists (async, non-blocking)
  onStateUpdate(state: State, source: Connection | "server") {
    console.log("State updated:", state);
  }

  @callable()
  increment() {
    this.setState({ count: this.state.count + 1 });
    return this.state.count;
  }
}

export default {
  fetch: (req, env) => routeAgentRequest(req, env) ?? new Response("Not found", { status: 404 })
};

Routing

Requests route to /agents/{agent-name}/{instance-name}:

Class	URL
`Counter`	`/agents/counter/user-123`
`ChatRoom`	`/agents/chat-room/lobby`

Client: useAgent({ agent: "Counter", name: "user-123" })

Core APIs

Task	API
Read state	`this.state.count`
Write state	`this.setState({ count: 1 })`
SQL query	this.sql`SELECT * FROM users WHERE id = ${id}`
Schedule (delay)	`await this.schedule(60, "task", payload)`
Schedule (cron)	`await this.schedule("0 * * * *", "task", payload)`
Schedule (interval)	`await this.scheduleEvery(30, "poll")`
RPC method	`@callable() myMethod() { ... }`
Streaming RPC	`@callable({ streaming: true }) stream(res) { ... }`
Start workflow	`await this.runWorkflow("ProcessingWorkflow", params)`

React Client

import { useAgent } from "agents/react";

function App() {
  const [state, setLocalState] = useState({ count: 0 });

  const agent = useAgent({
    agent: "Counter",
    name: "my-instance",
    onStateUpdate: (newState) => setLocalState(newState),
    onIdentity: (name, agentType) => console.log(`Connected to ${name}`)
  });

  return (
    <button onClick={() => agent.setState({ count: state.count + 1 })}>
      Count: {state.count}
    </button>
  );
}

References

references/workflows.md - Durable Workflows integration
references/callable.md - RPC methods, streaming, timeouts
references/state-scheduling.md - State persistence, scheduling
references/streaming-chat.md - AIChatAgent, resumable streams
references/mcp.md - MCP server integration
references/email.md - Email routing and handling
references/codemode.md - Code Mode (experimental)

Files

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Requirements and compatibility

Written for: OpenAI Codex

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an MCP server, Needs Node.js

Security

No issues found by our static scan· No issues found

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Attribution and licence

Created by

Cloudflare

Publisher

OpenAI (Official)

Distributed by

OpenAI

Source

openai/plugins · plugins/cloudflare/skills/agents-sdk · commit d420d13

Licence

Apache License 2.0 (redistribution allowed)

ATTRIBUTION.md (written by AutoGineer)

Synced

2026-11-08

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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download agents-sdk.zip