Tandem vs Trigger.dev

Trigger.dev runs jobs in their cloud. Tandem builds the project on your box.

Trigger.dev is excellent at the thing it’s for: durable background jobs and AI-agent tasks, written in TypeScript, deployed to their managed cloud. No timeouts, automatic retries, checkpointing, realtime streams, a polished observability dashboard. If you need production infrastructure to run long-lived agent workloads against your users’ traffic, it’s a strong, well-engineered choice.

That’s a different shape from Tandem. Tandem isn’t where your product’s agents run in production — it’s where you build the product in the first place. You spawn coding agents in parallel across every project, each in its own isolated git worktree, and review them all from one inbox — diff, comment, approve, merge. It can run on your own hardware, with zero telemetry when you run local, and your code can stay on your machine, or run in our managed cloud, your call.

So this isn’t really a head-to-head; it’s two tools at different layers. The honest comparison is where they overlap and where they don’t.

Where they actually compete vs where they differ

They genuinely overlap on agent orchestration and observability. Both run agents, both give you a fleet view and per-agent cost/health, both care about retries and durable state. If “orchestrate a bunch of AI agents and watch them” is your search, both pages will show up.

They differ on almost everything that follows from where the work lives:

1. Build-time vs run-time. Tandem is a coding platform — it’s how a human-plus-agent team ships a codebase: spawn agents, review their diffs, merge, keep the knowledge vault. Trigger.dev is runtime infra — it’s where the finished background jobs and agent tasks execute against production load. You could plausibly use Tandem to write the tasks you then deploy to Trigger.dev.

2. Your data can stay put. Trigger.dev’s managed cloud is the product — your code is deployed and your jobs run on their servers (self-hosting exists but the default and the polish are cloud). Tandem can keep code, vault, and history on hardware you control, with zero telemetry when you run local — or run it in our managed cloud, your call; local model calls go direct to your provider under your own key.

Where Trigger.dev wins (we say so)

For running durable background work in production, Trigger.dev is purpose-built and Tandem is not. No-timeout long-running tasks, automatic checkpointing and retries, realtime run streaming, a deep observability dashboard, and a managed cloud that scales jobs against real traffic — that’s its home turf, and it’s genuinely good at it. Tandem doesn’t host your product’s runtime jobs; it’s the local-first surface where you and a fleet of coding agents build the thing, review every change, and merge on your own box. Different layer, different job — and on a real project you might well use both.