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What is Powabase?

Powabase is the backend for your app: one managed service that gives you a Postgres database, user authentication, file storage, realtime, and a suite of AI features behind a single API. You don’t deploy or operate anything. You create a project, copy two values, and start building. The thing that makes Powabase a good fit for how people build today is that you don’t have to write the backend by hand. Your coding agent can. Powabase speaks the same conventions the popular tools already know, so an agent like Claude Code, Cursor, or GitHub Copilot, or an AI app builder like Replit, Base44, Lovable, or Bolt, can wire your frontend up to a production backend for you. Powabase is the backend your app talks to; your agent writes the code that talks to it. If you can copy a URL and an API key, you have everything you need to get started. The rest is your agent’s job.

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Build with the coding agent you already use

You don’t need to be a backend engineer to build on Powabase. You need the tool you’re already using. Every Powabase project exposes its connection details in one place: the Connect modal in the Studio. It gives you a Project URL and an API key, plus ready-to-paste connection strings in nine languages. Those two values are the entire handshake between your app and your backend.
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Grab your project's connection details

Open the Studio, click Connect in your project header, and copy the Project URL and an API key. That’s the only setup step.
2

Hand them to your coding agent

Tell your agent what you’re building and paste in the connection details. For example: “I’m using Powabase as my backend. Here’s my Project URL and API key. Add sign-up and login, store user profiles, and let users upload files.” The agent reads these docs, understands the API, and writes the integration code.
3

Ship

Review what your agent produced, run it, and iterate. Because Powabase is fully managed, there’s nothing to deploy or scale on the backend; the project is already live.
Already using an AI app builder? Tools like Replit, Base44, Lovable, and Bolt know how to talk to a Supabase-style backend. Powabase is built on those same building blocks and follows the same API conventions, so anywhere a tool expects that kind of backend, you can give it your Powabase Project URL and key instead, and the database, auth, and storage just work. See Migrating from Supabase for the specifics.
This works because every endpoint follows the same patterns: the same authentication, the same error format, the same streaming protocol everywhere. That consistency is what an AI assistant needs to generate code that runs the first time.

Build with AI Coding Assistants

How to give Claude Code, Cursor, Copilot, and others the context to build on Powabase.

Auth & Connection

Open the Connect modal, find your URL and keys, and make your first request.

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One backend for the whole app

Most apps need the same handful of backend pieces. Powabase includes all of them in every project, so you’re not stitching together five services and writing glue code to connect them:
You need…Powabase gives you…
A databasePostgres with pgvector, plus instant REST access to your own tables
User accountsA full auth system — email/password, OAuth providers, JWTs
File storageUpload, serve, and secure files with signed URLs
Live updatesRealtime subscriptions for changes as they happen
AI featuresDocument search (RAG), agents, and automated workflows — built in
The database, auth, and storage surfaces follow the same conventions as Supabase, so the patterns you (or your agent) already know carry straight over. The difference is that last row: AI is part of the backend, not something you bolt on later.

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The AI features that set Powabase apart

When your app needs to do more than store and serve data, those capabilities are already in the box: understanding documents, holding a conversation, automating a multi-step process. You can ignore them until you need them, and reach for only the ones a given feature requires.

Context Engineering (RAG)

Upload PDFs, Word docs, images, or spreadsheets and get search that understands them. Extraction, indexing, and retrieval are handled for you, with multiple strategies for different document types.

Agents & Tools

LLM-powered agents that reason, call tools (database, web search, your own endpoints, MCP servers), and stream answers in real time, with optional human approval for high-stakes actions.

Multi-Agent Orchestration

A coordinator that routes work to specialized agents (a billing agent, a support agent, a sales agent) all behind one endpoint.

Workflow Automation

DAG-based pipelines for the steps you know in advance, with AI reasoning inside each step. Trigger them manually, by webhook, or on a schedule.
These compose. A knowledge base can back an agent; an agent can be a step in a workflow; a workflow can search a knowledge base or call your database. You use as much or as little as your app needs.
Example: a support assistant in three pieces. Upload your help docs into a knowledge base, attach it to an agent so it answers grounded in your content, and wrap that agent in a workflow that escalates to a human when confidence is low. Each piece is a few API calls, and your coding agent can write all of them.

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Per-project isolation

Every project gets its own isolated stack: a dedicated Postgres database with pgvector, an API gateway, an auth service, file storage, and an AI service worker. There’s no shared state between projects, and isolation is enforced at the infrastructure level, so what you build is genuinely yours and ready for production from day one.

Architecture

The control plane, data plane, and how each project’s stack fits together.

Database Access

Direct PostgREST and Postgres access to your project database.

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Getting started

The fastest path is to open the Connect modal, hand the details to your coding agent, and describe what you want to build. If you’d rather see the API directly, the Quickstart builds a working RAG agent end-to-end in about five minutes.

Auth & Connection

Find your Project URL and keys, and make your first authenticated request.

Quickstart

Build an end-to-end RAG agent in 5 minutes.

Build with AI Coding Assistants

Give your agent the context to build complete integrations.

How Powabase Compares

Where Powabase fits next to Supabase, LangChain, and other tools.