Neon Object Storage

Neon Object Storage

This is a preview feature and only available in us-east-2. Neon Object Storage is S3-compatible object storage that branches with your projects: every branch gets its own isolated storage state, so files and database rows stay in sync across dev, preview, staging, and production.

Use this skill to help the user store and serve files that branch alongside their database. Deliver a working bucket and upload/download flow, a branch-aware S3 client wired to the injected env vars, or a precise answer from the official Neon docs.

When to Use

Reach for Neon Object Storage when the user needs to store files (images, uploads, generated assets, documents, backups) and any of the following are true:

• They already use Neon Postgres and don't want a second provider. One backend, one bill, one CLI, one set of branches — instead of standing up and wiring a separate AWS S3 / R2 / Supabase Storage account. The same Neon credential that backs the database backs storage.
• Files must stay in sync with the database across environments. Storage branches together with your Postgres data. Fork a branch and the child instantly inherits the parent's buckets and objects at that point in time — copy-on-write, so no data is duplicated. This is what makes agent, dev, preview, and test environments seamless: a preview branch gets a consistent snapshot of both the rows and the files they reference, and writes on the child never touch the parent.
• They want safe, throwaway environments. Upload, overwrite, and delete files in a preview/CI branch without any risk to production data, then drop the branch.
• They want standard S3 tooling. It's built on S3 semantics and speaks the S3 API, so the AWS SDKs, boto3, the AWS CLI, and presigned URLs all work — reliable and familiar, with no proprietary client.

If the user has no Neon project, isn't on Postgres, and just needs a standalone CDN-backed asset store, a dedicated object store may fit better — but the moment branch-consistent files + rows matter, this is the reason to use it.

What It Does

• S3-compatible — Works with existing S3 SDKs, boto3, the AWS CLI, and presigned URLs. Path-style addressing and SigV4 only.
• Branches with your database — Every Neon branch gets its own isolated, copy-on-write storage state. Forking copies no data.
• Two access modes — private buckets require a credential for every operation; public_read buckets allow anonymous reads with authenticated writes.
• One credential system — The same Neon credential system used by Functions and the AI Gateway.

Setup

Object storage is part of the neon.ts infrastructure-as-code config (see the neon skill for the branch-first workflow, link/checkout, and neon.ts basics). Declare buckets under preview.buckets, keyed by bucket name:

// neon.ts
import { defineConfig } from "@neon/config/v1";

export default defineConfig({
  preview: {
    buckets: {
      images: {}, // private by default
      "public-assets": { access: "public_read" },
    },
  },
});

Provision the declared buckets on the linked branch:

neon deploy   # alias for `neon config apply`

Neon Infrastructure as Code (neon.ts)

The preview.buckets block above is part of neon.ts, Neon's infrastructure-as-code file — one TypeScript file declares your buckets alongside every other service the branch should have (see the neon skill for the full reference). Reconcile the declaration against a branch the Terraform way:

neon config status   # print the branch's live config (which buckets exist)
neon config plan     # dry-run diff of what apply would change
neon config apply    # create the declared buckets  (neon deploy is an alias)

Buckets are branch-scoped: when a neon.ts is present, neon checkout applies the policy as it creates a branch, so a fresh preview/CI branch comes up with its buckets already provisioned (and copy-on-write objects inherited from the parent). Checking out an existing branch doesn't reconcile it — run neon deploy to apply changes. Provisioning (config apply / deploy), link, and checkout also pull the branch's S3 credentials into your local .env.local, so the same env pull step shown below happens for you on those commands.

For typed, validated access to the injected S3 credentials, pass the same config object to parseEnv from @neon/env — it returns an env.storage namespace (accessKeyId, secretAccessKey, endpoint, region) derived from your neon.ts.

Environment variables

When preview.buckets is declared, Neon injects AWS-standard S3 env vars so the AWS SDKs work from the environment with zero extra config. Inside a deployed Neon Function these are injected automatically; locally, pull them onto disk (or inject them at runtime) via the CLI:

neon env pull            # writes the branch's vars into .env (or .env.local)
# or, without writing a file, inject at runtime:
neon-env run -- <your dev command>

Because the names are AWS-standard, the AWS SDK picks up the credentials, endpoint, and region from the environment automatically. Credentials are branch-scoped and valid for that branch and all its descendants.