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:
Read the docs — getting started, API reference, guides, and more.
Quick Example
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.
Features
| Feature | Description |
|---|---|
| Persistent State | Syncs to all connected clients, survives restarts |
| Callable Methods | Type-safe RPC via the @callable() decorator |
| 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 |
| Workflows | Durable multi-step tasks with human-in-the-loop approval |
| Receive and respond via Cloudflare Email Routing | |
| Code Mode | LLMs generate executable TypeScript instead of individual tool calls |
| SQL | Direct SQLite queries via Durable Objects |
| React Hooks | useAgent and useAgentChat for frontend integration |
| Vanilla JS Client | AgentClient for non-React environments |
Coming soon: Realtime voice agents, web browsing (headless browser), sandboxed code execution, and multi-channel communication (SMS, messengers).
Packages
| Package | Description |
|---|---|
agents |
Core SDK — Agent class, routing, state, scheduling, MCP, email, workflows |
@cloudflare/ai-chat |
Higher-level AI chat — persistent messages, resumable streaming, tool execution |
hono-agents |
Hono middleware for adding agents to Hono apps |
@cloudflare/codemode |
Experimental — LLMs write executable code to orchestrate tools |
Examples
The examples/ directory has self-contained demos covering most SDK features — MCP servers/clients, workflows, email agents, webhooks, tic-tac-toe, resumable streaming, and more. The playground is the kitchen-sink showcase with everything in one UI.
There are also examples using the OpenAI Agents SDK in openai-sdk/.
Run any example locally:
cd examples/playground
npm run devDocumentation
- Full docs on developers.cloudflare.com
docs/directory in this repo (synced upstream)- Anthropic Patterns guide — sequential, routing, parallel, orchestrator, evaluator
- Human-in-the-Loop guide — approval workflows with pause/resume
Repository Structure
| Directory | Description |
|---|---|
packages/agents/ |
Core SDK |
packages/ai-chat/ |
AI chat layer |
packages/hono-agents/ |
Hono integration |
packages/codemode/ |
Code Mode (experimental) |
examples/ |
Self-contained demo apps |
openai-sdk/ |
Examples using the OpenAI Agents SDK |
guides/ |
In-depth pattern tutorials |
docs/ |
Markdown docs synced to developers.cloudflare.com |
site/ |
Deployed websites (agents.cloudflare.com, AI playground) |
design/ |
Architecture and design decision records |
scripts/ |
Repo-wide tooling |
Development
Node 24+ required. Uses npm workspaces.
npm install # install all workspaces npm run build # build all packages npm run check # full CI check (format, lint, typecheck, exports) CI=true npm test # run tests (vitest + vitest-pool-workers)
Changes to packages/ need a changeset:
See AGENTS.md for deeper contributor guidance.
Contributing
We are not accepting external pull requests at this time — the SDK is evolving quickly and we want to keep the surface area manageable. That said, we'd love to hear from you:
- Bug reports & feature requests — open an issue
- Questions & ideas — start a discussion