agents-sdk
Builds stateful AI agents using the Agents SDK, supporting scheduling, RPC, and MCP services for complex intelligent application development.
npx skills add cloudflare/skills --skill agents-sdkBefore / After Comparison
1 组Building stateful AI agent systems from scratch is complex and time-consuming, requiring handling low-level details such as scheduling, RPC, and MCP servers, leading to a high development barrier.
Provides an SDK to simplify building stateful AI agents with scheduling, RPC, and MCP server functionalities. Significantly reduces development difficulty and accelerates the deployment of AI applications.
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Your knowledge of the Agents SDK may be outdated.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 |
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 -
AIChatAgentwith resumable streams - React hooks -
useAgent,useAgentChatfor 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)
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