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rivetkitrivetkit 数据库

Agent Skill

rivetkit 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:rivetkit(rivetkit 数据库)
来源仓库:https://github.com/rivet-dev/skills
仓库路径:skills/rivetkit
安装命令:
npx skills add https://github.com/rivet-dev/skills --skill rivetkit
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/rivet-dev/skills --skill rivetkit

简介

适用于 AI 代理、多人应用程序和工作流程自动化的长寿命、有状态计算。

  • Actor 是持久的内存中进程,可以跨请求维护状态,无需数据库往返,并且可以自动从零扩展到数百万个并发实例。
  • 通过 WebSocket 和事件进行内置实时通信、用于有序消息处理的持久队列以及用于结构化数据查询的 SQLite。
  • 通过 Rivet Cloud 或自托管引擎,状态在重新启动和崩溃时仍然存在;区分持久c.state
  • (CBOR-可序列化,<128 KB),无界 c.kv
  • 存储和临时 c.vars
  • (仅限不可序列化对象)。
  • 支持参与者之间的通信、调度、生命周期挂钩和工作流模式,以实现多步骤持久执行,并在失败时自动重放。
  • 部署到 Vercel、Railway、AWS Lambda、Google Cloud Run、Kubernetes 或自托管;配置生产版本控制以确保安全升级并防止参与者回归。

SKILL.md

Rivet Actors

Build high-performance, long-lived, in-memory processes on Rivet's actor runtime. Use this skill whenever HTTP endpoints, databases, or queues no longer meet the requirements for AI agents, realtime collaboration, workflow orchestration, or geo-distributed data.

What To Do If You Get Stuck

If something is not working as intended or you are stuck, prompt the user to join the Rivet Discord or file an issue on the Rivet GitHub to report an issue and get help.

Provide the user with a pre-generated report with:

  • Symptoms

- If this is happening in local dev, deployed, or both - The error you're seeing - Relevant source code related to this

  • What you've tried to solve it
  • Environment

- RivetKit version - Runtime (Node, Bun, etc) including version - If applicable, provider in use (e.g. Vercel, Railway, etc) - If applicable, HTTP router in use (e.g. Hono, Express, Elysia)

Debugging Actors

Use the inspector HTTP API to examine running actors. These endpoints are accessible through the gateway at /gateway/{actor_id}/inspector/*. Key endpoints:

  • GET /inspector/summary - full actor snapshot (state, connections, RPCs, queue)
  • GET /inspector/state / PATCH /inspector/state - read/write actor state
  • GET /inspector/connections - active connections
  • GET /inspector/rpcs - available actions
  • POST /inspector/action/{name} - execute an action with {"args": [...]}
  • POST /inspector/database/execute - run SQL with {"sql": "...", "args": [...]} or {"sql": "...", "properties": {...}} for reads or mutations
  • GET /inspector/queue?limit=50 - queue status
  • GET /inspector/traces?startMs=0&endMs=...&limit=1000 - trace spans (OTLP JSON)
  • GET /inspector/workflow-history - workflow history and status as JSON (nameRegistry, entries, entryMetadata)
  • POST /inspector/workflow/replay - replay a workflow from a specific step or from the beginning
  • GET /inspector/database/schema - SQLite tables and views exposed by c.db
  • GET /inspector/database/rows?table=...&limit=100&offset=0 - paged SQLite rows for a table or view
  • POST /inspector/workflow/replay - replay a workflow from a specific step or from the beginning

In local dev, no auth token is needed. In production, pass Authorization: Bearer <RIVET_INSPECTOR_TOKEN>. The actor-specific inspector token used by the standalone Inspector UI is also accepted for inspector endpoints. See the debugging docs for details.

Citing Sources

When providing information from Rivet documentation, cite the canonical URL so users can learn more. Each reference file includes its canonical URL in the header metadata.

How to cite:

  • Use inline links for key concepts: "Use actor keys to uniquely identify instances."
  • Add a "Learn more" link after explanations for complex topics

Finding canonical URLs:

The Reference Map below links to reference files. Each file's header contains:

> Canonical URL: https://rivet.dev/docs/actors/actions

Use that canonical URL when citing, not the reference file path.

Examples:

  • Actions → https://rivet.dev/docs/actors/actions
  • React client → https://rivet.dev/docs/clients/react
  • Self-hosting on Kubernetes → https://rivet.dev/docs/self-hosting/kubernetes

Version Check

Before starting any work, check if the user's project is on the latest version of RivetKit (latest: 2.2.0). Look at the rivetkit version in the user's package.json (check both dependencies and devDependencies). If the installed version is older than 2.2.0, inform the user and suggest upgrading:

npm install rivetkit@2.2.0

If the user also uses @rivetkit/react, @rivetkit/next-js, or other @rivetkit/* client packages, suggest upgrading those too. Outdated versions may have known bugs or missing features that cause issues.

First Steps

  1. Install RivetKit (latest: 2.2.0) npm install rivetkit@2.2.0
  2. Define a registry with setup({use: {/* actors */}}).
  3. Call registry.start() to start the server. For custom HTTP server integration, use registry.handler() with a router like Hono. For serverless deployments, use registry.serve(). For runner-only mode, use registry.startRunner().
  4. Verify /api/rivet/metadata returns 200 before deploying.
  5. Configure Rivet Cloud or self-hosted engine

- You must configure versioning for production builds. This is not needed for local development. See Versions & Upgrades.

  1. Integrate clients (see client guides below for JavaScript, React, or Swift)
  2. Prompt the user if they want to deploy. If so, go to Deploying Rivet Backends.

For more information, read the quickstart guide relevant to the user's project.

Project Setup

.gitignore

Every RivetKit project should have a .gitignore. Include at minimum:

node_modules/
dist/
.env

.dockerignore

Every project with a Dockerfile should have a .dockerignore to keep the image small and avoid leaking secrets:

node_modules/
dist/
.env
.git/

Dockerfile

Use this as a base Dockerfile for deploying a RivetKit project. The RIVET_RUNNER_VERSION build arg is only needed when self-hosting or using a custom runner (not needed for Rivet Compute). It lets Rivet track which version of the actor is running and drain old actors on deploy. See https://rivet.dev/docs/actors/versions for details.

FROM node:24-alpine

ARG RIVET_RUNNER_VERSION
ENV RIVET_RUNNER_VERSION=$RIVET_RUNNER_VERSION

WORKDIR /app

COPY package.json package-lock.json ./
RUN npm ci

COPY . .
RUN npm run build --if-present

CMD ["node", "dist/index.js"]

Build with:

docker build --build-arg RIVET_RUNNER_VERSION=$(date +%s) .

Adjust the CMD to match the project's entry point. If the project uses a different output directory or start command, update accordingly.

Error Handling Policy

  • Prefer fail-fast behavior by default.
  • Avoid try/catch unless it is required for a real recovery path, cleanup boundary, or to add actionable context.
  • Never swallow errors. If you add a catch, you must handle the error explicitly, at minimum by logging it.
  • When you cannot recover, log context and rethrow.

State vs Vars: Persistence Rules

c.vars is ephemeral. Data in c.vars is lost on every restart, crash, upgrade, or sleep/wake cycle. Only use c.vars for non-serializable objects (e.g., physics engines, WebSocket references, event emitters, caches) or truly transient runtime data (e.g., current input direction that doesn't matter after disconnect).

Persistent storage options. Any data that must survive restarts belongs in one of these, NOT in c.vars:

  • c.state — CBOR-serializable data for small, bounded datasets. Ideal for configuration, counters, small player lists, phase flags, etc. Keep under 128 KB. Do not store unbounded or growing data here (e.g., chat logs, event histories, spawned entity lists that grow without limit). State is read/written as a single blob on every persistence cycle.
  • c.kv — Key-value store for unbounded data. This is what c.state uses under the hood. Supports binary values. Use for larger or variable-size data like user inventories, world chunks, file blobs, or any collection that may grow over time. Keys are scoped to the actor instance.
  • c.db — SQLite database for structured or complex data. Use when you need queries, indexes, joins, aggregations, or relational modeling. Ideal for leaderboards, match histories, player pools, or any data that benefits from SQL.

Common mistake: Storing meaningful game/application data in c.vars instead of persisting it. For example, if users can spawn objects in a physics simulation, the spawn definitions (position, size, type) must be persisted in c.state (or c.kv if unbounded), even though the physics engine handles (non-serializable) live in c.vars. On restart, run() should recreate the runtime objects from the persisted data.

Deploying Rivet Backends

Assume the user is deploying to Rivet Cloud, unless otherwise specified. If user is self-hosting, read the self-hosting guides below.

  1. Verify that Rivet Actors are working in local dev
  2. Prompt the user to choose a provider to deploy to (see Connect for a list of providers, such as Vercel, Railway, etc)
  3. Follow the deploy guide for that given provider. You will need to instruct the user when you need manual intervention.

API Reference

The RivetKit OpenAPI specification is available in the skill directory at openapi.json. This file documents all HTTP endpoints for managing actors.

Misc Notes

  • The Rivet domain is rivet.dev, not rivet.gg

TypeScript Caveat: Actor Client Inference

  • In multi-file TypeScript projects, bidirectional actor calls can create a circular type dependency when both actors use c.client<typeof registry>().
  • Symptoms usually include c.state becoming unknown, actor methods becoming possibly undefined, or TS2322 / TS2722 errors after the first cross-actor call.
  • If an action returns the result of another actor call, prefer an explicit return type annotation on that action instead of relying on inference through c.client<typeof registry>().
  • If explicit return types are not enough, use a narrower client or registry type for only the actors that action needs.
  • As a last resort, pass unknown for the registry type and be explicit that this gives up type safety at that call site.

Features

  • Long-Lived, Stateful Compute: Each unit of compute is like a tiny server that remembers things between requests – no need to re-fetch data from a database or worry about timeouts. Like AWS Lambda, but with memory and no timeouts.
  • Blazing-Fast Reads & Writes: State is stored on the same machine as your compute, so reads and writes are ultra-fast. No database round trips, no latency spikes. State is persisted to Rivet for long term storage, so it survives server restarts.
  • Realtime: Update state and broadcast changes in realtime with WebSockets. No external pub/sub systems, no polling – just built-in low-latency events.
  • Infinitely Scalable: Automatically scale from zero to millions of concurrent actors. Pay only for what you use with instant scaling and no cold starts.
  • Fault Tolerant: Built-in error handling and recovery. Actors automatically restart on failure while preserving state integrity and continuing operations.

When to Use Rivet Actors

  • AI agents & sandboxes: multi-step toolchains, conversation memory, sandbox orchestration.
  • Multiplayer or collaborative apps: CRDT docs, shared cursors, realtime dashboards, chat.
  • Workflow automation: background jobs, cron, rate limiters, durable queues, backpressure control.
  • Data-intensive backends: geo-distributed or per-tenant databases, in-memory caches, sharded SQL.
  • Networking workloads: WebSocket servers, custom protocols, local-first sync, edge fanout.

Minimal Project

Backend

index.ts

import { actor, event, setup } from "rivetkit";

const counter = actor({
	state: { count: 0 },
	events: {
		count: event<number>(),
	},
	actions: {
		increment: (c, amount: number) => {
			c.state.count += amount;
			c.broadcast("count", c.state.count);
			return c.state.count;
		},
	},
});

export const registry = setup({
	use: { counter },
});

registry.start();

Client Docs

Use the client SDK that matches your app:

Actor Quick Reference

In-Memory State

Persistent data that survives restarts, crashes, and deployments. State is persisted on Rivet Cloud or Rivet self-hosted, so it survives restarts if the current process crashes or exits.

Static Initial State

import { actor } from "rivetkit";

const counter = actor({
state: { count: 0 },
actions: {
increment: (c) => c.state.count += 1,
},
});

Dynamic Initial State

import { actor } from "rivetkit";

interface CounterState {
  count: number;
}

const counter = actor({
  state: { count: 0 } as CounterState,
  createState: (c, input: { start?: number }): CounterState => ({
    count: input.start ?? 0,
  }),
  actions: {
    increment: (c) => c.state.count += 1,
  },
});

Documentation

Keys

Keys uniquely identify actor instances. Use compound keys (arrays) for hierarchical addressing:

import { actor, setup } from "rivetkit";
import { createClient } from "rivetkit/client";

const chatRoom = actor({
	state: { messages: [] as string[] },
	actions: {
		getRoomInfo: (c) => ({ org: c.key[0], room: c.key[1] }),
	},
});

const registry = setup({ use: { chatRoom } });
const client = createClient<typeof registry>("http://localhost:6420");

// Compound key: [org, room]
client.chatRoom.getOrCreate(["org-acme", "general"]);

// Access key inside actor via c.key

Don't build keys with string interpolation like "org:${userId}" when userId contains user data. Use arrays instead to prevent key injection attacks.

Documentation

Input

Pass initialization data when creating actors. Input is only available in createState and onCreate, so store it in state if you need it later.

import { actor, setup } from "rivetkit";
import { createClient } from "rivetkit/client";

const game = actor({
	state: { mode: "" },
	createState: (c, input: { mode: string }) => ({
		mode: input.mode, // Store input in state for later access
	}),
	actions: {
		getMode: (c) => c.state.mode,
	},
});

const registry = setup({ use: { game } });
const client = createClient<typeof registry>("http://localhost:6420");

// Client usage
const gameHandle = client.game.getOrCreate(["game-1"], {
	createWithInput: { mode: "ranked" },
});

Documentation

Temporary Variables

Temporary data that doesn't survive restarts. Use for non-serializable objects (event emitters, connections, etc).

Static Initial Vars

import { actor } from "rivetkit";

const counter = actor({
state: { count: 0 },
vars: { lastAccess: 0 },
actions: {
increment: (c) => {
c.vars.lastAccess = Date.now();
return c.state.count += 1;
},
},
});

Dynamic Initial Vars

import { actor } from "rivetkit";

const counter = actor({
  state: { count: 0 },
  createVars: () => ({
    emitter: new EventTarget(),
  }),
  actions: {
    increment: (c) => {
      c.vars.emitter.dispatchEvent(new Event("change"));
      return c.state.count += 1;
    },
  },
});

Documentation

Actions

Actions are the primary way clients and other actors communicate with an actor.

import { actor } from "rivetkit";

const counter = actor({
	state: { count: 0 },
	actions: {
		increment: (c, amount: number) => (c.state.count += amount),
		getCount: (c) => c.state.count,
	},
});

Documentation

Events & Broadcasts

Events enable real-time communication from actors to connected clients.

import { actor, event } from "rivetkit";

const chatRoom = actor({
	state: { messages: [] as string[] },
	events: {
		newMessage: event<{ text: string }>(),
	},
	actions: {
		sendMessage: (c, text: string) => {
			// Broadcast to ALL connected clients
			c.broadcast("newMessage", { text });
		},
	},
});

Documentation

Connections

Access the current connection via c.conn or all connected clients via c.conns. Use c.conn.id or c.conn.state to securely identify who is calling an action. Connection state is initialized via connState or createConnState, which receives parameters passed by the client on connect.

Static Connection Initial State

import { actor } from "rivetkit";

const chatRoom = actor({
state: {},
connState: { visitorId: 0 },
onConnect: (c, conn) => {
conn.state.visitorId = Math.random();
},
actions: {
whoAmI: (c) => c.conn.state.visitorId,
},
});

Dynamic Connection Initial State

import { actor } from "rivetkit";

const chatRoom = actor({
  state: {},
  // params passed from client
  createConnState: (c, params: { userId: string }) => ({
    userId: params.userId,
  }),
  actions: {
    // Access current connection's state and params
    whoAmI: (c) => ({
      state: c.conn.state,
      params: c.conn.params,
    }),
    // Iterate all connections with c.conns
    notifyOthers: (c, text: string) => {
      for (const conn of c.conns.values()) {
        if (conn !== c.conn) conn.send("notification", { text });
      }
    },
  },
});

Documentation

Queues

Use queues to process durable messages in order inside a run loop.

import { actor, queue } from "rivetkit";

const counter = actor({
	state: { value: 0 },
	queues: {
		increment: queue<{ amount: number }>(),
	},
	run: async (c) => {
		for await (const message of c.queue.iter()) {
			c.state.value += message.body.amount;
		}
	},
});

Documentation

Workflows

Use workflows when your run logic needs durable, replayable multi-step execution.

import { actor, queue } from "rivetkit";
import { workflow } from "rivetkit/workflow";

const worker = actor({
	state: { processed: 0 },
	queues: {
		tasks: queue<{ url: string }>(),
	},
	run: workflow(async (ctx) => {
		await ctx.loop("task-loop", async (loopCtx) => {
			const message = await loopCtx.queue.next("wait-task");

			await loopCtx.step("process-task", async () => {
				await processTask(message.body.url);
				loopCtx.state.processed += 1;
			});
		});
	}),
});

async function processTask(url: string): Promise<void> {
	const res = await fetch(url, { method: "POST" });
	if (!res.ok) throw new Error(`Task failed: ${res.status}`);
}

Documentation

Actor-to-Actor Communication

Actors can call other actors using c.client().

import { actor, setup } from "rivetkit";

const inventory = actor({
	state: { stock: 100 },
	actions: {
		reserve: (c, amount: number) => {
			c.state.stock -= amount;
		},
	},
});

const order = actor({
	state: {},
	actions: {
		process: async (c) => {
			const client = c.client<typeof registry>();
			await client.inventory.getOrCreate(["main"]).reserve(1);
		},
	},
});

const registry = setup({ use: { inventory, order } });

Documentation

Scheduling

Schedule actions to run after a delay or at a specific time. Schedules persist across restarts, upgrades, and crashes.

import { actor, event } from "rivetkit";

const reminder = actor({
	state: { message: "" },
	events: {
		reminder: event<{ message: string }>(),
	},
	actions: {
		// Schedule action to run after delay (ms)
		setReminder: (c, message: string, delayMs: number) => {
			c.state.message = message;
			c.schedule.after(delayMs, "sendReminder");
		},
		// Schedule action to run at specific timestamp
		setReminderAt: (c, message: string, timestamp: number) => {
			c.state.message = message;
			c.schedule.at(timestamp, "sendReminder");
		},
		sendReminder: (c) => {
			c.broadcast("reminder", { message: c.state.message });
		},
	},
});

Documentation

Destroying Actors

Permanently delete an actor and its state using c.destroy().

import { actor } from "rivetkit";

const userAccount = actor({
	state: { email: "", name: "" },
	onDestroy: (c) => {
		console.log(`Account ${c.state.email} deleted`);
	},
	actions: {
		deleteAccount: (c) => {
			c.destroy();
		},
	},
});

Documentation

Lifecycle Hooks

Actors support hooks for initialization, background processing, connections, networking, and state changes. Use run for long-lived background loops, and exit cleanly on shutdown with c.aborted or c.abortSignal.

import { actor, event, queue } from "rivetkit";

interface RoomState {
	users: Record<string, boolean>;
	name?: string;
}

interface RoomInput {
	roomName: string;
}

interface ConnState {
	userId: string;
	joinedAt: number;
}

const chatRoom = actor({
	state: { users: {} } as RoomState,
	vars: { startTime: 0 },
	connState: { userId: "", joinedAt: 0 } as ConnState,
	events: {
		stateChanged: event<RoomState>(),
	},
	queues: {
		work: queue<{ task: string }>(),
	},

	// State & vars initialization
	createState: (c, input: RoomInput): RoomState => ({
		users: {},
		name: input.roomName,
	}),
	createVars: () => ({ startTime: Date.now() }),

	// Actor lifecycle
	onCreate: (c) => console.log("created", c.key),
	onDestroy: (c) => console.log("destroyed"),
	onWake: (c) => console.log("actor started"),
	onSleep: (c) => console.log("actor sleeping"),
	run: async (c) => {
		for await (const message of c.queue.iter()) {
			console.log("processing", message.body.task);
		}
	},
	onStateChange: (c, newState) => c.broadcast("stateChanged", newState),

	// Connection lifecycle
	createConnState: (c, params): ConnState => ({
		userId: (params as { userId: string }).userId,
		joinedAt: Date.now(),
	}),
	onBeforeConnect: (c, params) => {
		/* validate auth */
	},
	onConnect: (c, conn) => console.log("connected:", conn.state.userId),
	onDisconnect: (c, conn) => console.log("disconnected:", conn.state.userId),

	// Networking
	onRequest: (c, req) => new Response(JSON.stringify(c.state)),
	onWebSocket: (c, socket) => socket.addEventListener("message", console.log),

	// Response transformation
	onBeforeActionResponse: <Out>(
		c: unknown,
		name: string,
		args: unknown[],
		output: Out,
	): Out => output,

	actions: {},
});

Documentation

Context Types

When writing helper functions outside the actor definition, use *ContextOf<typeof myActor> to extract the correct context type. Do not manually define your own context interface — always derive it from the actor definition.

import { actor, ActionContextOf } from "rivetkit";

const gameRoom = actor({
	state: { players: [] as string[], score: 0 },
	actions: {
		addPlayer: (c, playerId: string) => {
			validatePlayer(c, playerId);
			c.state.players.push(playerId);
		},
	},
});

// Good: derive context type from actor definition
function validatePlayer(c: ActionContextOf<typeof gameRoom>, playerId: string) {
	if (c.state.players.includes(playerId)) {
		throw new Error("Player already in room");
	}
}

// Bad: don't manually define context types like this
// type MyContext = { state: { players: string[] }; ... };

Documentation

Errors

Use UserError to throw errors that are safely returned to clients. Pass metadata to include structured data. Other errors are converted to generic "internal error" for security.

Actor

import { actor, UserError } from "rivetkit";

const user = actor({
state: { username: "" },
actions: {
updateUsername: (c, username: string) => {
if (username.length < 3) {
throw new UserError("Username too short", {
code: "username_too_short",
metadata: { minLength: 3, actual: username.length },
});
}
c.state.username = username;
},
},
});

Client

import { actor, setup } from "rivetkit";
import { createClient, ActorError } from "rivetkit/client";

const user = actor({
  state: { username: "" },
  actions: { updateUsername: (c, username: string) => { c.state.username = username; } }
});

const registry = setup({ use: { user } });
const client = createClient<typeof registry>("http://localhost:6420");

try {
  await client.user.getOrCreate([]).updateUsername("ab");
} catch (error) {
  if (error instanceof ActorError) {
    console.log(error.code);     // "username_too_short"
    console.log(error.metadata); // { minLength: 3, actual: 2 }
  }
}

Documentation

Low-Level HTTP & WebSocket Handlers

For custom protocols or integrating libraries that need direct access to HTTP Request/Response or WebSocket connections, use onRequest and onWebSocket.

HTTP Handler Documentation · WebSocket Handler Documentation

Icons & Names

Customize how actors appear in the UI with display names and icons. It's recommended to always provide a name and icon to actors in order to make them easier to distinguish in the dashboard.

import { actor } from "rivetkit";

const chatRoom = actor({
	options: {
		name: "Chat Room",
		icon: "💬", // or FontAwesome: "comments", "chart-line", etc.
	},
	// ...
});

Documentation

Client Documentation

Find the full client guides here:

Common Patterns

Actors scale naturally through isolated state and message-passing. Structure your applications with these patterns:

Documentation

Actor Per Entity

Create one actor per user, document, or room. Use compound keys to scope entities:

import { createClient } from "rivetkit/client";
import type { registry } from "./index";

const client = createClient<typeof registry>("http://localhost:6420");

// Single key: one actor per user
client.user.getOrCreate(["user-123"]);

// Compound key: document scoped to an organization
client.document.getOrCreate(["org-acme", "doc-456"]);
import { actor, setup } from "rivetkit";

export const user = actor({
  state: { name: "" },
  actions: {},
});

export const document = actor({
  state: { content: "" },
  actions: {},
});

export const registry = setup({ use: { user, document } });

registry.start();

Coordinator & Data Actors

Data actors handle core logic (chat rooms, game sessions, user data). Coordinator actors track and manage collections of data actors—think of them as an index.

import { actor, setup } from "rivetkit";

// Coordinator: tracks chat rooms within an organization
export const chatRoomList = actor({
state: { rooms: [] as string[] },
actions: {
addRoom: async (c, name: string) => {
// Create the chat room actor
const client = c.client<typeof registry>();
await client.chatRoom.create([c.key[0], name]);
c.state.rooms.push(name);
},
listRooms: (c) => c.state.rooms,
},
});

// Data actor: handles a single chat room
export const chatRoom = actor({
state: { messages: [] as string[] },
actions: {
send: (c, msg: string) => { c.state.messages.push(msg); },
},
});

export const registry = setup({ use: { chatRoomList, chatRoom } });

registry.start();
import { createClient } from "rivetkit/client";
import type { registry } from "./index";

const client = createClient<typeof registry>("http://localhost:6420");

// Coordinator per org
const coordinator = client.chatRoomList.getOrCreate(["org-acme"]);
await coordinator.addRoom("general");
await coordinator.addRoom("random");

// Access chat rooms created by coordinator
client.chatRoom.get(["org-acme", "general"]);

Run Loop

Use a run loop for continuous background work inside an actor. Process queue messages in order, run logic on intervals, stream AI responses, or coordinate long-running tasks.

import { actor, queue, setup } from "rivetkit";

const counterWorker = actor({
	state: { value: 0 },
	queues: {
		mutate: queue<{ delta: number }>(),
	},
	run: async (c) => {
		for await (const message of c.queue.iter()) {
			c.state.value += message.body.delta;
		}
	},
	actions: {
		getValue: (c) => c.state.value,
	},
});

const registry = setup({ use: { counterWorker } });

Workflow Loop

Use this pattern for long-lived, durable workflows that initialize resources, process commands in a loop, then clean up.

import { actor, queue, setup } from "rivetkit";
import { Loop, workflow } from "rivetkit/workflow";

type WorkMessage = { amount: number };
type ControlMessage = { type: "stop"; reason: string };

const worker = actor({
	state: {
		phase: "idle" as "idle" | "running" | "stopped",
		processed: 0,
		total: 0,
		stopReason: null as string | null,
	},
	queues: {
		work: queue<WorkMessage>(),
		control: queue<ControlMessage>(),
	},
	run: workflow(async (ctx) => {
		await ctx.step("setup", async () => {
			await fetch("https://api.example.com/workers/init", {
				method: "POST",
			});
			ctx.state.phase = "running";
			ctx.state.stopReason = null;
		});

		const stopReason = await ctx.loop("worker-loop", async (loopCtx) => {
			const message = await loopCtx.queue.next("wait-command", {
				names: ["work", "control"],
			});

			if (message.name === "work") {
				await loopCtx.step("apply-work", async () => {
					await fetch("https://api.example.com/workers/process", {
						method: "POST",
						body: JSON.stringify({ amount: message.body.amount }),
					});
					loopCtx.state.processed += 1;
					loopCtx.state.total += message.body.amount;
				});
				return;
			}

			return Loop.break((message.body as ControlMessage).reason);
		});

		await ctx.step("teardown", async () => {
			await fetch("https://api.example.com/workers/shutdown", {
				method: "POST",
			});
			ctx.state.phase = "stopped";
			ctx.state.stopReason = stopReason;
		});
	}),
});

const registry = setup({ use: { worker } });

Documentation

Actions vs Queues

  • Actions are not durable. Use them for realtime reads, ephemeral data, and low-latency communication like player input.
  • Queues are durable. Use them to serialize mutations through the run loop, avoiding race conditions with SQLite and other local state. Callers can still wait for a response from queued work.

Authentication, Security, & CORS

  • Validate credentials in onBeforeConnect or createConnState and throw an error to reject unauthorized connections.
  • Use c.conn.state to securely identify users in actions rather than trusting action parameters.
  • For cross-origin access, validate the request origin in onBeforeConnect.

Authentication Documentation · CORS Documentation

Versions & Upgrades

When deploying new code, set a version number so Rivet can route new actors to the latest runner and optionally drain old ones. Use a build timestamp, git commit count, or CI build number as the version. It is very important to configure versioning before deploying to production. Without versioning, actors can regress by running on older runner versions, and existing actors will never be forced to migrate to new runners. They will continue running indefinitely on the old runners until they exit.

Documentation

Anti-Patterns

Never build a "god" actor

Do not put all your logic in a single actor. A god actor serializes every operation through one bottleneck, kills parallelism, and makes the entire system fail as a unit. Split into focused actors per entity.

Never create an actor per request

Actors are long-lived and maintain state across requests. Creating a new actor for every incoming request throws away the core benefit of the model and wastes resources on actor creation and teardown. Use actors for persistent entities and regular functions for stateless work.

Reference Map

Actors

Agent Os

Clients

Connect

Cookbook

General

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