
agents-sdk
✓ Official★ 2,000by Cloudflare · part of cloudflare/skills
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.
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.
Inspect the full instructions your agent will receiveExpandCollapse
This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.
by Cloudflare
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.
npx skills add https://github.com/cloudflare/skills --skill agents-sdk
Download ZIPGitHub2k
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Your knowledge of the Agents SDK may be outdated.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 execution —
runFiber()/stash()for work that survives DO eviction -
Queue — Built-in FIFO queue with retries via
queue() -
Retries —
this.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 chat —
AIChatAgentwith resumable streams, message persistence, tools -
Server-driven messages —
saveMessages,waitUntilStablefor proactive agent turns -
React hooks —
useAgent,useAgentChatfor client apps -
Observability —
diagnostics_channelevents 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
Agent Class
import { Agent, routeAgentRequest, callable } from "agents";
type State = { count: number };
export class Counter extends Agent {
initialState = { count: 0 };
validateStateChange(nextState: State, source: Connection | "server") {
if (nextState.count 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.sqlSELECT * 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 (
agent.setState({ count: state.count + 1 })}>
Count: {state.count}
);
}
References
Core
-
references/state-scheduling.md — State persistence, scheduling, SQL
-
references/callable.md — RPC methods, streaming, timeouts
-
references/routing.md — URL patterns, custom routing,
getAgentByName -
references/configuration.md — Wrangler config, bindings, Vite setup
Chat & Streaming
-
references/streaming-chat.md — AIChatAgent, resumable streams, tools
-
references/client-sdk.md —
useAgent,useAgentChat,AgentClient -
references/server-driven-messages.md — Trigger patterns,
saveMessages -
references/human-in-the-loop.md — Approval flows,
needsApproval
Background Processing
-
references/workflows.md — Durable Workflows integration
-
references/durable-execution.md —
runFiber,stash, surviving eviction -
references/queue-retries.md — Built-in queue, retry with backoff
Integrations
-
references/mcp.md — MCP client and server, transports, securing
-
references/email.md — Email routing and handling
-
references/webhooks-push.md — Webhooks, push notifications
-
references/observability.md — Diagnostics-channel events
Experimental
-
references/think.md —
@cloudflare/thinkhigher-level chat agent -
references/voice.md —
@cloudflare/voiceSTT/TTS -
references/codemode.md — Code Mode for tool orchestration
-
references/browse-the-web.md — CDP browser tools
npm install agentsRun this in your project — your agent picks the skill up automatically.
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
experimentalDecoratorsin 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
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.