Trigger.dev: Build and Deploy AI Agents and Background Workflows

What Is Trigger.dev?

Trigger.dev is an open-source platform purpose-built for creating, deploying, and managing AI agents and background workflows in TypeScript. Unlike traditional serverless platforms that impose strict execution timeouts, Trigger.dev allows your tasks to run for as long as they need — hours, days, or even longer — without interruption. It handles retries, queue management, concurrency control, and observability out of the box, making it ideal for AI agent orchestration, data pipelines, webhook processing, and any long-running background job.

Key Features

Trigger.dev stands out from other workflow platforms with its unique combination of features designed for modern AI applications:

No Execution Timeouts — Unlike AWS Lambda or Vercel functions, your tasks can run indefinitely, perfect for AI agent loops that need to reason, gather context, and act over extended periods.
Durable Execution with Checkpointing — Tasks are inherently resilient. If a process crashes, Trigger.dev can resume from the last checkpoint rather than starting from scratch.
Human-in-the-Loop — Pause task execution at critical decision points and wait for human approval, rejection, or feedback before continuing.
Built-in Queues & Retries — Manage concurrency across tasks with customizable queue strategies and automatic retry on failure with exponential backoff.
Real-Time Streaming — Subscribe to task runs in real time and stream LLM responses directly to your frontend applications.
Full Observability — Every task run includes detailed tracing, logging, and monitoring through a rich dashboard.

Why Trigger.dev for AI Agents?

Building AI agents requires orchestrating multiple steps: calling LLMs, fetching data from APIs, processing results, and taking actions — all of which can take unpredictable amounts of time. Trigger.dev is designed for exactly this pattern. Its durable task system means your agent can make API calls that take minutes, wait for external events, or involve human review without worrying about function timeouts. The platform also supports running Python scripts, browsers (via Playwright), and FFmpeg directly in your tasks, giving you the runtime freedom AI workloads demand.

Self-Hosting

Trigger.dev offers both a cloud-hosted version and full self-hosting capabilities. For teams that need data sovereignty, compliance, or custom infrastructure, the Docker Compose setup makes self-hosting straightforward. The platform also provides a Helm chart for Kubernetes deployments at scale.

Conclusion

Trigger.dev fills a critical gap in the AI infrastructure landscape. It combines the developer experience of modern TypeScript tooling with the durability and scalability required for production AI workloads. Whether you are building customer support agents, automated research pipelines, or complex multi-step workflows, Trigger.dev provides the foundation to build with confidence.