Installable skillApache-2.0

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. Biases towar...

BY gaos6eUPDATED Oct 30, 2026
INTENDED FOR◈OpenClawInstall in a listed agent.

instructions.md

---
name: agents-sdk-007d6ccf8580
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, 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.
---

# 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Your knowledge of the Agents SDK may be outdated.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

```bash
npm ls agents  # Should show agents package
```

If not installed:
```bash
npm install agents
```

## Wrangler Configuration

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

## Agent Class

```typescript
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

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

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.