Durable Objects logo

Durable Objects

OrganizationPopular
cloudflare
durable-objects

Build, debug, or review Cloudflare Durable Objects code for persistent state and coordination.

Overview

Publishercloudflare
Repositoryskills
Skill namedurable-objects
Stars
2.8K
Forks
277
Bundled files
3
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cloudflare on GitHub. Read the source before you install it.

Installation

Install the Durable Objects AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cloudflare/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/durable-objects .claude/skills/durable-objects
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Durable Objects in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Durable Objects on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Durable Objects is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Durable Objects

Build stateful, coordinated applications on Cloudflare's edge using Durable Objects.

Retrieval Sources

Your knowledge of Durable Objects APIs and configuration may be outdated. Prefer retrieval over pre-training for any Durable Objects task.

Fetch the relevant doc page when implementing features.

When to Use

  • Creating new Durable Object classes for stateful coordination
  • Implementing RPC methods, alarms, or WebSocket handlers
  • Reviewing existing DO code for best practices
  • Configuring wrangler.jsonc/toml for DO bindings and migrations
  • Writing tests with Cloudflare’s Vitest integration
  • Designing sharding strategies and parent-child relationships

Reference Documentation

  • ./references/rules.md - Core rules, storage, concurrency, RPC, alarms
  • Testing reference - Current Vitest documentation, migration choices, and test selection
  • ./references/workers.md - Workers handlers, types, wrangler config, observability

Search: blockConcurrencyWhile, idFromName, getByName, setAlarm, sql.exec

Core Principles

Use Durable Objects For

NeedExample
CoordinationChat rooms, multiplayer games, collaborative docs
Strong consistencyInventory, booking systems, turn-based games
Per-entity storageMulti-tenant SaaS, per-user data
Persistent connectionsWebSockets, real-time notifications
Scheduled work per entitySubscription renewals, game timeouts

Do NOT Use For

  • Stateless request handling (use plain Workers)
  • Maximum global distribution needs
  • High fan-out independent requests

Quick Reference

Wrangler Configuration

jsonc
// wrangler.jsonc
{
  "durable_objects": {
    "bindings": [{ "name": "MY_DO", "class_name": "MyDurableObject" }]
  },
  "migrations": [{ "tag": "v1", "new_sqlite_classes": ["MyDurableObject"] }]
}

Basic Durable Object Pattern

typescript
import { DurableObject } from "cloudflare:workers";

export interface Env {
  MY_DO: DurableObjectNamespace<MyDurableObject>;
}

export class MyDurableObject extends DurableObject<Env> {
  constructor(ctx: DurableObjectState, env: Env) {
    super(ctx, env);
    ctx.blockConcurrencyWhile(async () => {
      this.ctx.storage.sql.exec(`
        CREATE TABLE IF NOT EXISTS items (
          id INTEGER PRIMARY KEY AUTOINCREMENT,
          data TEXT NOT NULL
        )
      `);
    });
  }

  async addItem(data: string): Promise<number> {
    const result = this.ctx.storage.sql.exec<{ id: number }>(
      "INSERT INTO items (data) VALUES (?) RETURNING id",
      data
    );
    return result.one().id;
  }
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const stub = env.MY_DO.getByName("my-instance");
    const id = await stub.addItem("hello");
    return Response.json({ id });
  },
};

Critical Rules

  1. Model around coordination atoms - One DO per chat room/game/user, not one global DO
  2. Use getByName() for deterministic routing - Same input = same DO instance
  3. Use SQLite storage - Configure new_sqlite_classes in migrations
  4. Initialize in constructor - Use blockConcurrencyWhile() for schema setup only
  5. Use RPC methods - Not fetch() handler (compatibility date >= 2024-04-03)
  6. Persist first, cache second - Always write to storage before updating in-memory state
  7. One alarm per DO - setAlarm() replaces any existing alarm

Anti-Patterns (NEVER)

  • Single global DO handling all requests (bottleneck)
  • Using blockConcurrencyWhile() on every request (kills throughput)
  • Storing critical state only in memory (lost on eviction/crash)
  • Using await between related storage writes (breaks atomicity)
  • Holding blockConcurrencyWhile() across fetch() or external I/O

Stub Creation

typescript
// Deterministic - preferred for most cases
const stub = env.MY_DO.getByName("room-123");

// From existing ID string
const id = env.MY_DO.idFromString(storedIdString);
const stub = env.MY_DO.get(id);

// New unique ID - store mapping externally
const id = env.MY_DO.newUniqueId();
const stub = env.MY_DO.get(id);

Storage Operations

typescript
// SQL (synchronous, recommended)
this.ctx.storage.sql.exec("INSERT INTO t (c) VALUES (?)", value);
const rows = this.ctx.storage.sql.exec<Row>("SELECT * FROM t").toArray();

// KV (async)
await this.ctx.storage.put("key", value);
const val = await this.ctx.storage.get<Type>("key");

Alarms

typescript
// Schedule (replaces existing)
await this.ctx.storage.setAlarm(Date.now() + 60_000);

// Handler
async alarm(): Promise<void> {
  // Process scheduled work
  // Optionally reschedule: await this.ctx.storage.setAlarm(...)
}

// Cancel
await this.ctx.storage.deleteAlarm();

Testing

Read the testing reference before configuring a suite or writing Durable Object tests. It routes to current setup, APIs, and examples and identifies the behavior to cover.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Durable Objects AI skill do?

Build, debug, or review Cloudflare Durable Objects code for persistent state and coordination.

Why use Durable Objects on TypingMind?

Because you install it once and use it with any model. Durable Objects is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Durable Objects in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cloudflare/skills/tree/main/skills/durable-objects. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Durable Objects?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Durable Objects?

As many as you like. As long as a model supports skills, you can use Durable Objects with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Durable Objects AI skill free?

Yes. It is published on GitHub by cloudflare under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇