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Supabase Compute: run your agents inside your project

Supabase Compute: run your agents inside your project

DevOps Supabase
Supabase has launched a private alpha for Supabase Compute, allowing developers to run agents, APIs, and background jobs directly inside their projects.
What: Available in the us-west-2 region, Supabase Compute supports Node, Deno, and custom Dockerfiles. The platform provides a full Linux environment and handles deployments via the Supabase CLI v2.120.0 or later, with Dreambase reporting query latencies as low as 2.9 ms.
Why it matters: By allowing compute to run alongside data, Supabase is closing the latency gap for AI agents and real-time services that would otherwise suffer from cold starts or cross-region network overhead.
Takeaway: Join the waitlist if your project is hosted in us-west-2 and you need to move long-running agent logic closer to your Postgres database.
Decoder
  • Cold start: The delay incurred when a serverless function or container initializes from an idle state before it can process a request.
Original article

Today we're launching Supabase Compute in private alpha. Now you can run agents, background jobs, and APIs right next to your data, in the same project. During the private alpha, Compute is available in the us-west-2 region, with more regions coming soon. Join the waitlist to try it for free.

Developers told us some work doesn't fit in an Edge Function. Some work needs more memory or CPU. Some runs longer than 400 seconds, like an AI agent. Some is written in another language.

That work usually means a second platform, with its own deploys, its own logs, and debugging across two providers. Supabase Compute brings that work into your project. You pick the size, the work runs for minutes or hours, and you deploy Node, Deno, or any Dockerfile.

What you can run

Each service gets a full Linux environment, so you can run:

  • An AI agent that can spin up and coordinate multiple tasks
  • An API or web service written in any language, configured with a Dockerfile
  • A durable job processor that pulls tasks from Postgres, such as OpenWorkflow
  • A data sync or embedding backfill that runs for hours
  • A WebSocket service for low-latency, real-time apps like voice agents

Dreambase moved their data agent onto Compute to test it. Its queries to Postgres took a median of 2.9 ms, versus 65 ms from another region.

Deploy with the Supabase CLI

Compute uses the Supabase CLI you already have, v2.120.0 or later. Once you have access:

  1. Add compute = true under [experimental] in supabase/config.toml.
  2. Create a service with supabase compute new. Pick a runtime (Node, Deno, or a Dockerfile), a size (2 GB with 1 vCPU, or 4 GB with 2 vCPUs), and whether the service is public, with a URL, or private, with no URL.
  3. Replace the starter code in the service's folder, under supabase/compute/, with your own.
  4. Deploy it with supabase compute push.

A service's settings are a few lines in config.toml, so your coding agent can write them and deploy the service for you. Point your agent at the Compute guide. The Management API also has alpha endpoints to deploy, list, and delete services.

Your services get your project's secrets. Their logs show up on the Compute page in your dashboard.

What to know about the private alpha

  • It's for evaluation, not production, and it may change or end.
  • Only projects in us-west-2 can use it.
  • A service can be restarted at any time, so save long-running work to Postgres.
  • Every service gets all of your project's secrets.
  • There's no autoscaling, GPU, or persistent disk.
  • Public services suspend when idle. Private services keep running.

Join the waitlist

Join the waitlist and add your Project ID if your project is in us-west-2. Tell us what you want to build. Sandboxes for AI agents aren't part of the alpha. If you need them, tell us that too.

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