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The coding-agent plugin that bills 52% of a bare model across 20 live tasks. Terse persona + tool-output compressor + context diet.
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Create stateful AI agents with persistent memory, real-time WebSocket connections, and scheduled tasks using the Cloudflare Agents SDK.
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Build and deploy AI Agents on Cloudflare
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Loading the full README.
Read the full README ↗Agents are persistent, stateful execution environments for agentic workloads, powered by Cloudflare Durable Objects. Each agent has its own state, storage, and lifecycle — with built-in support for real-time communication, scheduling, AI model calls, MCP, workflows, and more.
Agents hibernate when idle and wake on demand. You can run millions of them — one per user, per session, per game room — each costs nothing when inactive.
npm create cloudflare@latest -- --template cloudflare/agents-starter
Or add to an existing project:
npm install agents
Read the docs — getting started, API reference, guides, and more.
A counter agent with persistent state, callable methods, and real-time sync to a React frontend:
// server.ts
import { Agent, routeAgentRequest, callable } from "agents";
export type CounterState = { count: number };
export class CounterAgent extends Agent<Env, CounterState> {
initialState = { count: 0 };
@callable()
increment() {
this.setState({ count: this.state.count + 1 });
return this.state.count;
}
@callable()
decrement() {
this.setState({ count: this.state.count - 1 });
return this.state.count;
}
}
export default {
async fetch(request: Request, env: Env, ctx: ExecutionContext) {
return (
(await routeAgentRequest(request, env)) ??
new Response("Not found", { status: 404 })
);
}
};
// client.tsx
import { useAgent } from "agents/react";
import { useState } from "react";
import type { CounterAgent, CounterState } from "./server";
function Counter() {
const [count, setCount] = useState(0);
const agent = useAgent<CounterAgent, CounterState>({
agent: "CounterAgent",
onStateUpdate: (state) => setCount(state.count)
});
return (
<div>
<span>{count}</span>
<button onClick={() => agent.stub.increment()}>+</button>
<button onClick={() => agent.stub.decrement()}>-</button>
</div>
);
}
State changes sync to all connected clients automatically. Call methods like they're local functions.
The agent is a Durable Object, so it needs a binding and a SQLite migration in wrangler.jsonc:
{
"name": "counter",
"main": "server.ts",
"compatibility_date": "2026-06-11",
"compatibility_flags": ["nodejs_compat"],
"durable_objects": {
"bindings": [{ "name": "CounterAgent", "class_name": "CounterAgent" }]
},
"migrations": [{ "tag": "v1", "new_sqlite_classes": ["CounterAgent"] }]
}
| Feature | Description |
|---|---|
| Persistent State | Syncs to all connected clients, survives restarts |
| Callable Methods | Type-safe RPC via the @callable() decorator |
| Sub-agents | Parent/child DO composition via facets, nested routing, and typed parent lookup |
| Agent Tools | Run chat-capable sub-agents as tools with streaming child timelines |
| Scheduling | One-time, recurring, and cron-based tasks |
| WebSockets | Real-time bidirectional communication with lifecycle hooks |
| AI Chat | Message persistence, resumable streaming, server/client tool execution |
| MCP | Act as MCP servers or connect as MCP clients (HTTP, SSE, RPC, elicitation) |
| WebMCP | Expose page-local tools or bridge remote MCP tools to browser agents |
| Workflows | Durable multi-step tasks with human-in-the-loop approval |
| Send, receive, and reply via Cloudflare Email Service | |
| Voice | Continuous STT, streaming TTS, VAD, interruption, SFU utilities |
| Browser Agents | Run agents in the browser tab with agents/browser |
| Code Mode | LLMs generate executable TypeScript instead of individual tool calls |
| Sandboxed Execution | Run generated code inside an isolated Worker with a virtual filesystem |
| x402 Payments | Pay-per-call APIs and tools via the x402 protocol |
| Observability | Built-in tracing, metrics, and structured logs |
| SQL | Direct SQLite queries via Durable Objects |
| React Hooks | useAgent, useAgentChat, useVoiceAgent for frontend integration |
| Vanilla JS Client |
This is the beginning of the README. Read the rest at the original. Read the full README ↗
AgentClient and VoiceClient for non-React environments |