Agent Skills: Cloudflare Agents SDK

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.

UncategorizedID: cloudflare/skills/agents-sdk

Repository

cloudflareLicense: Apache-2.0
24518

Install this agent skill to your local

pnpm dlx add-skill https://github.com/cloudflare/skills/tree/HEAD/skills/agents-sdk

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skills/agents-sdk/SKILL.md

Skill Metadata

Name
agents-sdk
Description
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, chat applications, voice agents, or browser automation. Covers Agent class, state management, callable RPC, Workflows, durable execution, queues, retries, observability, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

Cloudflare Agents SDK

Your knowledge of the Agents SDK may be outdated.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

Retrieval Sources

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

| Topic | Docs URL | Use for | |-------|----------|---------| | Getting started | Quick start | First agent, project setup | | Adding to existing project | Add to existing project | Install into existing Workers app | | Configuration | Configuration | wrangler.jsonc, bindings, assets, deployment | | Agent class | Agents API | Agent lifecycle, patterns, pitfalls | | State | Store and sync state | setState, validateStateChange, persistence | | Routing | Routing | URL patterns, routeAgentRequest | | Callable methods | Callable methods | @callable, RPC, streaming, timeouts | | Scheduling | Schedule tasks | schedule(), scheduleEvery(), cron | | Workflows | Run workflows | AgentWorkflow, durable multi-step tasks | | HTTP/WebSockets | WebSockets | Lifecycle hooks, hibernation | | Chat agents | Chat agents | AIChatAgent, streaming, tools, persistence | | Client SDK | Client SDK | useAgent, useAgentChat, React hooks | | Client tools | Client tools | Client-side tools, autoContinueAfterToolResult | | Server-driven messages | Trigger patterns | saveMessages, waitUntilStable, server-initiated turns | | Resumable streaming | Resumable streaming | Stream recovery on disconnect | | Email | Email | Email routing, secure reply resolver | | MCP client | MCP client | Connecting to MCP servers | | MCP server | MCP server | Building MCP servers with McpAgent | | MCP transports | MCP transports | Streamable HTTP, SSE, RPC transport options | | Securing MCP servers | Securing MCP | OAuth, proxy MCP, hardening | | Human-in-the-loop | Human-in-the-loop | Approval flows, needsApproval, workflows | | Durable execution | Durable execution | runFiber(), stash(), surviving DO eviction | | Queue | Queue | Built-in FIFO queue, queue() | | Retries | Retries | this.retry(), backoff/jitter | | Observability | Observability | Diagnostics-channel events | | Push notifications | Push notifications | Web Push + VAPID from agents | | Webhooks | Webhooks | Receiving external webhooks | | Cross-domain auth | Cross-domain auth | WebSocket auth, tokens, CORS | | Readonly connections | Readonly | shouldConnectionBeReadonly | | Voice | Voice | Experimental STT/TTS, withVoice | | Browse the web | Browser tools | Experimental CDP browser automation | | Think | Think | Experimental higher-level chat agent class | | Migrations | AI SDK v5, AI SDK v6 | Upgrading @cloudflare/ai-chat |

Capabilities

The Agents SDK provides:

  • Persistent state — SQLite-backed, auto-synced to clients via setState
  • Callable RPC@callable() methods invoked over WebSocket
  • Scheduling — One-time, recurring (scheduleEvery), and cron tasks
  • Workflows — Durable multi-step background processing via AgentWorkflow
  • Durable executionrunFiber() / stash() for work that survives DO eviction
  • Queue — Built-in FIFO queue with retries via queue()
  • Retriesthis.retry() with exponential backoff and jitter
  • MCP integration — Connect to MCP servers or build your own with McpAgent
  • Email handling — Receive and reply to emails with secure routing
  • Streaming chatAIChatAgent with resumable streams, message persistence, tools
  • Server-driven messagessaveMessages, waitUntilStable for proactive agent turns
  • React hooksuseAgent, useAgentChat for client apps
  • Observabilitydiagnostics_channel events for state, RPC, schedule, lifecycle
  • Push notifications — Web Push + VAPID delivery from agents
  • Webhooks — Receive and verify external webhooks
  • Voice (experimental) — STT/TTS via @cloudflare/voice
  • Browser tools (experimental) — CDP-powered browsing via agents/browser
  • Think (experimental) — Higher-level chat agent via @cloudflare/think

FIRST: Verify Installation

npm ls agents  # Should show agents package

If not installed:

npm install agents

For chat agents:

npm install agents @cloudflare/ai-chat ai @ai-sdk/react

Wrangler Configuration

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

Gotchas:

  • Do NOT enable experimentalDecorators in tsconfig (breaks @callable)
  • Never edit old migrations — always add new tags
  • Each agent class needs its own DO binding + migration entry
  • Add "ai": { "binding": "AI" } for Workers AI

Agent Class

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

type State = { count: number };

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

  validateStateChange(nextState: State, source: Connection | "server") {
    if (nextState.count < 0) throw new Error("Count cannot be negative");
  }

  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" })

Custom routing: use getAgentByName(env.MyAgent, "instance-id") then agent.fetch(request).

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) | | Durable fiber | await this.runFiber("name", async (ctx) => { ... }) | | Enqueue work | this.queue("handler", payload) | | Retry with backoff | await this.retry(fn, { maxAttempts: 5 }) | | Broadcast to clients | this.broadcast(message) | | Get connections | this.getConnections(tag?) |

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

Core

Chat & Streaming

Background Processing

Integrations

Experimental