Database
Every agent-native app stores its state in PostgreSQL. The UI and the agent both read and write the same PostgreSQL tables through the same actions, using the same Drizzle ORM client. Live sync uses SSE with polling fallback, so changes appear in the other surface without a manual refresh.
PostgreSQL from DATABASE_URL
The UI and the agent both reach the database through the same Actions layer. Both callers use the same getDb() client and the same PostgreSQL tables. There is no separate backend for each.
Hosting Options
Agent-Native uses PostgreSQL. Use local PGlite for development without a separate server, and a persistent hosted PostgreSQL database for shared or deployed environments.
Local Postgres: PGlite
To develop locally without Docker or a hosted database, install the optional
PGlite package and set DATABASE_URL:
pnpm add @electric-sql/pglite@^0.5.8DATABASE_URL=pglite:./data/pglitePGlite runs an in-process WASM PostgreSQL database. It is local-only storage and must not be used for production or shared environments.
Production database
Set DATABASE_URL in your .env file or deploy-provider environment to connect a hosted PostgreSQL database. Common managed options include Neon, Supabase, Railway, Render, Amazon RDS for PostgreSQL, Cloud SQL for PostgreSQL, and Azure Database for PostgreSQL. Use the Plain Postgres guide for other managed services and self-hosted PostgreSQL servers:
# Neon Postgres
DATABASE_URL=postgres://user:pass@ep-cool-name-123456.us-east-2.aws.neon.tech/mydb?sslmode=require
# Supabase Postgres
DATABASE_URL=postgres://postgres.xxxx:pass@aws-0-us-east-1.pooler.supabase.com:6543/postgres
# Self-hosted Postgres
DATABASE_URL=postgres://user:pass@localhost:5432/mydbUse a PostgreSQL URL for every hosted environment. The framework configures
Drizzle for PostgreSQL from DATABASE_URL.
Builder.io managed database
Planned (not yet available): when connected to Builder.io, your app will be able to use a managed PostgreSQL database provisioned automatically, with no PostgreSQL connection string required.
Setting Up the Database
An app that uses the database needs three files:
server/db/schema.ts: table definitionsserver/db/index.ts: the typed DB client singletonserver/plugins/db.ts: app-owned migrations for local startup
1. Define your schema
Define schemas with Drizzle's PostgreSQL exports directly. Use framework-owned
sharing helpers from @agent-native/core/db/schema only when a table needs them.
import { sql } from "drizzle-orm";
import { boolean, integer, pgTable, text } from "drizzle-orm/pg-core";
export const tasks = pgTable("tasks", {
id: text("id").primaryKey(),
title: text("title").notNull(),
priority: integer("priority").notNull().default(0),
done: boolean("done").notNull().default(false),
ownerEmail: text("owner_email").notNull(),
createdAt: text("created_at")
.notNull()
.default(sql`now()`),
});| Export | Purpose |
|---|---|
pgTable |
Define a PostgreSQL table |
text |
Text column, supports { enum: [...] } |
integer |
Integer column |
boolean |
Boolean column |
sql |
SQL expression such as now() |
Domain table. Add owner_email (or ...ownableColumns()) so SQL-level scoping can filter rows to the authenticated user.
id | text | PK |
title | text | |
priority | integer | default 0 |
done | boolean | default false |
owner_email | text | enables data scoping |
created_at | text | default now() |
Defined once with Drizzle's PostgreSQL schema.
Tables that store per-user data must include an owner_email column so the framework can filter rows to the authenticated user. Tables that also support sharing with other users or orgs should spread ...ownableColumns() instead, which adds owner_email, org_id, and visibility in one call. See Scoping Data to Users below.
2. Create the DB client
Each app creates a lazy, singleton Drizzle client by calling createGetDb(schema). The canonical location is server/db/index.ts:
import { createGetDb } from "@agent-native/core/db";
import * as schema from "./schema.js";
export const getDb = createGetDb(schema);createGetDb returns a getDb() function that opens the PostgreSQL connection on first call and returns the same typed Drizzle instance on subsequent calls.
Import getDb from this template-local path in actions and routes. Do not import from @agent-native/core directly. The core export is untyped; the local export carries your schema types.
3. Write migrations
For local development, schema changes can run through a Nitro plugin in
server/plugins/db.ts. Use runMigrations from @agent-native/core/db:
Each app tracks its own applied versions in a separate table. Use a name unique to your app so it doesn't collide with framework migrations or other apps sharing the same database.
CREATE TABLE IF NOT EXISTS is safe to re-run on every restart. Put the full table definition in version 1.
ADD COLUMN IF NOT EXISTS is the safe way to add columns after initial creation. Never drop or rename columns.
Migrations use PostgreSQL SQL directly and are applied in version order.
runMigrations runs each pending entry in order once, records it as applied, and
skips it on later runs. Give new entries a stable name; named migrations are
tracked independently of their version number.
Generate new app migrations with Drizzle Kit
For new app-owned schema changes, use Drizzle Kit to generate reviewed SQL:
pnpm db:generateThis creates server/db/migrations/<id_name>.sql. Commit the generated file and
review its SQL before shipping it. runDrizzleMigrations
loads those files into the shared Agent-Native runner on Node.js and Node-based
serverless runtimes, so release authorization, database handling, and bookkeeping
stay in one place:
import { runDrizzleMigrations } from "@agent-native/core/db/drizzle-migrations";
export default runDrizzleMigrations(new URL("./migrations", import.meta.url), {
table: "my_app_migrations",
});Re-export that plugin from server/plugins/db.ts so the same ./migrations
path works from source and from the emitted server bundle:
export { default } from "../db/migrations.js";The filesystem-backed loader is not available in filesystem-free edge runtimes. Keep migration files owned by the release step and use a hosted PostgreSQL connection.
If an app already has handwritten entries, keep that history and load generated
entries into the same runMigrations() source after it. Do not give one schema
two independent migration owners. Generate against PostgreSQL and keep using
handwritten runMigrations() entries for framework
tables, data backfills, and deferred JavaScript steps.
For production or serverless deployments, run migrations in a release or
deploy step instead of on the first request. The Chat template provides pnpm migrate:production for this.
Give every new migration a stable name (e.g. { version: 4, name: "tasks-priority-index", sql: "..." }). The plain version number is only a
position in a shared sequence: if two branches each add their own
migrations at, say, version: 4, whichever branch deploys first "uses up"
that version number in the bookkeeping table, and the other branch's DDL
silently never runs when it merges — the table looks fully migrated even
though the second branch's columns or tables don't exist. A name is
tracked independently of version, so it applies exactly once regardless
of what version number it shipped under or which branch merged first.
Unnamed legacy migrations keep working as-is; add name to migrations you
write from now on.
Never run drizzle-kit push against a production database. Template schemas
only define app-specific tables; they do not include central framework tables
(user, session, application_state, and others). Running drizzle-kit push against production will detect those tables as unknown and attempt to
drop them, causing immediate data loss.
drizzle.config.ts at the root of each app configures drizzle-kit for local development schema inspection and migration generation:
import { createDrizzleConfig } from "@agent-native/core/db/drizzle-config";
export default createDrizzleConfig();Use pnpm db:generate to create reviewed migration files and pnpm db:push against a local database only. Production schema changes go through the release migration command.
4. Query in actions
Call getDb() from your actions to get the typed Drizzle client. Use Drizzle's query builder and operators from drizzle-orm:
import { and, desc, eq } from "drizzle-orm";
import { getDb } from "../server/db/index.js";
import * as schema from "../server/db/schema.js";
const db = getDb();
const openTasks = await db
.select()
.from(schema.tasks)
.where(
and(eq(schema.tasks.ownerEmail, userEmail), eq(schema.tasks.done, false)),
)
.orderBy(desc(schema.tasks.createdAt));
await db
.update(schema.tasks)
.set({ done: true })
.where(eq(schema.tasks.id, taskId));Scoping Data to Users
All reads and writes against user-facing tables must be scoped to the authenticated user. The framework provides two patterns depending on whether the data is private or shareable.
Private data: tables that belong to one user. Add ownerEmail: text("owner_email").notNull() to the schema and include eq(table.ownerEmail, userEmail) in every query:
.where(eq(schema.tasks.ownerEmail, userEmail))Shared resources: tables that can be shared with other users or organizations. Spread ...ownableColumns() in the schema instead of a bare owner_email. This adds owner_email, org_id, and visibility in one call, and creates a companion shares table with createSharesTable:
import {
table,
text,
ownableColumns,
createSharesTable,
} from "@agent-native/core/db/schema";
export const decks = table("decks", {
id: text("id").primaryKey(),
title: text("title").notNull(),
...ownableColumns(),
});
export const deckShares = createSharesTable("deck_shares");Then use accessFilter from @agent-native/core/sharing in list queries instead of a manual eq check:
import { accessFilter } from "@agent-native/core/sharing";
const rows = await db
.select()
.from(schema.decks)
.where(accessFilter(schema.decks, schema.deckShares));accessFilter builds a query that admits rows the caller owns, rows shared with their org, and rows explicitly shared with them. It does not expose rows from other users.
See Security — Data Scoping and Sharing for the full model.
PostgreSQL-Backed Sync
Agent-Native does not rely on filesystem watchers or sticky in-memory state. When an action writes to the database, a sync version increments. The client useDbSync() hook polls /_agent-native/poll and invalidates React Query caches when it sees a higher version.
This works across serverless and multi-instance deployments because the database is the coordination point. If you write custom mutations outside actions, use framework helpers or emit the appropriate sync invalidation so open UIs refresh.
mutates data
polls /_agent-native/poll
No watchers, no sticky state. A write bumps a version in PostgreSQL; every client polls the version and refetches.
Raw SQL
For advanced queries, health checks, or one-off maintenance that the Drizzle query builder can't express, use getDbExec from @agent-native/core/db:
import { getDbExec } from "@agent-native/core/db";
const { rows } = await getDbExec().execute({
sql: `SELECT id, title FROM tasks WHERE owner_email = ? LIMIT ?`,
args: [userEmail, 50],
});getDbExec auto-converts ? params to $1, $2, etc. for PostgreSQL. Prefer the Drizzle query builder for normal reads and writes. Raw SQL bypasses type safety and is harder to maintain.
Environment Variables
| Variable | Purpose |
|---|---|
DATABASE_URL |
Local pglite:./data/pglite URL or hosted PostgreSQL connection string |
What's next
- Security — Data Scoping: how
owner_emailand access helpers scope reads and writes - Sharing:
ownableColumns()and the visibility model for shared resources - Plugins: the startup plugin lifecycle where migrations run
- Actions: the surface where actions call
getDb()to read and write data - Deployment: connecting a persistent PostgreSQL database per deploy target
- Real-Time Sync:
useDbSync()and the full client-side sync model