trigger.dev

Build and deploy fully‑managed AI agents and workflows

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About Trigger.dev

Trigger.dev is the open-source platform for building AI workflows in TypeScript. Long-running tasks with retries, queues, observability, and elastic scaling.

The platform designed for building AI agents

Build AI agents using all the frameworks, services and LLMs you're used to, deploy them to Trigger.dev and get durable, long-running tasks with retries, queues, observability, and elastic scaling out of the box.

• Long-running without timeouts: Execute your tasks with absolutely no timeouts, unlike AWS Lambda, Vercel, and other serverless platforms.

• Durability, retries & queues: Build rock solid agents and AI applications using our durable tasks, retries, queues and idempotency.

• True runtime freedom: Customize your deployed tasks with system packages – run browsers, Python scripts, FFmpeg and more.

• Human-in-the-loop: Programmatically pause your tasks until a human can approve, reject or give feedback.

• Realtime apps & streaming: Move your background jobs to the foreground by subscribing to runs or streaming AI responses to your app.

• Observability & monitoring: Each run has full tracing and logs. Configure error alerts to catch bugs fast.

Key features

• JavaScript and TypeScript SDK - Build background tasks using familiar programming models
• Long-running tasks - Handle resource-heavy tasks without timeouts
• Durable cron schedules - Create and attach recurring schedules of up to a year
• Trigger.dev Realtime - Trigger, subscribe to, and get real-time updates for runs, with LLM streaming support
• Build extensions - Hook directly into the build system and customize the build process. Run Python scripts, FFmpeg, browsers, and more.
• React hooks - Interact with the Trigger.dev API on your frontend using our React hooks package
• Batch triggering - Use batchTrigger() to initiate multiple runs of a task with custom payloads and options
• Structured inputs / outputs - Define precise data schemas for your tasks with runtime payload validation
• Waits - Add waits to your tasks to pause execution for a specified duration
• Preview branches - Create isolated environments for testing and development. Integrates with Vercel and git workflows
• Waitpoints - Add human-in-the-loop judgment at critical decision points without disrupting workflow
• Concurrency & queues - Set concurrency rules to manage how multiple tasks execute
• Multiple environments - Support for DEV, PREVIEW, STAGING, and PROD environments
• No infrastructure to manage - Auto-scaling infrastructure that eliminates timeouts and server management
• Automatic retries - If your task encounters an uncaught error, we automatically attempt to run it again
• Checkpointing - Tasks are inherently durable, thanks to our checkpointing feature
• Versioning - Atomic versioning allows you to deploy new versions without affecting running tasks
• Machines - Configure the number of vCPUs and GBs of RAM you want the task to use
• Observability & monitoring - Monitor every aspect of your tasks' performance with comprehensive logging and visualization tools
• Logging & tracing - Comprehensive logging and tracing for all your tasks
• Tags - Attach up to ten tags to each run, allowing you to filter via the dashboard, realtime, and the SDK
• Run metadata - Attach metadata to runs which updates as the run progresses and is available to use in your frontend for live updates
• Bulk actions - Perform actions on multiple runs simultaneously, including replaying and cancelling
• Real-time alerts - Choose your preferred notification method for run failures and deployments

Write tasks in your codebase

Create tasks where they belong: in your codebase. Version control, localhost, test and review like you're already used to.

import { task } from "@trigger.dev/sdk";

//1. You need to export each task
export const helloWorld = task({
  //2. Use a unique id for each task
  id: "hello-world",
  //3. The run function is the main function of the task
  run: async (payload: { message: string }) => {
    //4. You can write code that runs for a long time here, there are no timeouts
    console.l