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Powabase is a backend platform for AI apps with per-project Postgres, auth, storage, realtime, retrieval, and agents for coding agents and AI builders.

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One backend for AI apps

Powabase is a backend platform for AI applications built around Postgres, retrieval, agents, and workflows. The product combines per-project Postgres with auth, storage, realtime, a RAG pipeline, and an agent runtime so teams can build against one backend instead of stitching together separate services.

The site positions Powabase for developers using coding agents and vibe tools such as Claude Code and Codex. It can be accessed through the Powabase agent skill, a REST API, and auth connections, and it supports managed cloud deployment as well as self-hosting with Docker or Kubernetes.

Core capabilities

Per-project backend stack

Each project gets its own isolated Postgres stack, with auth, object storage, realtime, and RLS available as part of the backend.

RAG pipeline for documents and media

Upload PDFs, images, office files, or URLs and let Powabase extract, chunk, embed, index, and search them with built-in retrieval options.

Agent runtime with tools

Define ReAct-style agents with multiple LLMs, knowledge bases, tools, session state, streamed events, and citations.

Visual workflows

Build multi-step flows by connecting triggers, conditions, agents, HTTP calls, and code blocks, then deploy them as HTTP endpoints.

Integration paths for agentic tools

Connect through the agent skill, REST API, or auth guide so coding agents and generated apps can use the backend directly.

Managed and self-hosted deployment

Run on Powabase Cloud or self-host with Docker Compose or Kubernetes, while bringing your own LLM keys if you want separate model billing.

Practical uses

  • Build an app with a coding agent

    Use Powabase when you want a coding agent to create an application and provision the backend in the same workflow, with schema, auth, retrieval, and agents available from one project.

  • Document Q&A and support bots

    Use the RAG pipeline to turn product docs, help centers, PDFs, images, office files, or URLs into a searchable knowledge base with citations and streamed answers.

  • Apps with access control

    Use project-level isolation, row-level security, and auth to build internal tools or customer-facing apps that need scoped access by team, department, or organization.

  • Operational agent workflows

    Use visual workflows and callable HTTP endpoints to chain agents, conditions, code, and API calls into multi-step automations.

  • Managed or self-hosted deployment

    Use managed cloud, Docker Compose, or Kubernetes depending on whether you want a hosted backend, a small self-hosted deployment, or a cluster-based install.

Pros and Cons

Pros

  • Combines Postgres, auth, storage, realtime, retrieval, and agents in one project.
  • Supports coding-agent workflows through the Powabase skill, REST API, and auth connection.
  • Includes built-in document ingestion and retrieval options such as vector, BM25, hybrid search, and reranking.
  • Offers both managed cloud and self-hosted deployment paths.
  • Pricing is explicit, with a free tier and paid plans that use monthly credits.

Cons

  • The site does not publish a complete FAQ or exhaustive integration matrix for every workflow or model.
  • Some product details are presented at a high level, so readers still need the docs to confirm fit for a specific stack or deployment.
  • Enterprise terms, private hosting, and dedicated support are sales-led rather than self-serve.

FAQ

What is Powabase?

Powabase combines an isolated Postgres database, auth, storage, realtime, a RAG pipeline, and an agent runtime in one backend. The site frames it as the backend layer for AI apps built with coding agents and other vibe tools.

Which coding tools and app builders work with Powabase?

The integrations page says Powabase connects through the agent skill, the REST API, or the auth guide. It lists support for tools such as Claude Code, Codex, Antigravity, OpenCode, Replit, Lovable, v0, Base44, and Bolt.new.

How can Powabase be deployed?

The site says you can use the managed Powabase Cloud, self-host with Docker Compose on a single host, or deploy to your own cluster with Kubernetes. It also says you can bring your own LLM keys.

How is Powabase priced?

The pricing page says plans start free, with paid tiers at Self Serve and Scale, plus an Enterprise option with sales-led terms. It also says paid plans use monthly credits that roll over and can be spent on compute, per-call costs, MAU overages, and storage.

Are there any limitations called out on the site?

The source describes Powabase as centered on Postgres, RAG, workflows, and agents. It does not provide a detailed list of every supported framework or model beyond named LLM providers and selected agent tools.

Quick Facts

Category
Backend platform for AI apps
Primary users
Developers building with coding agents, AI apps, and internal tools
Deployment
Managed cloud, Docker Compose, or Kubernetes
Source domain
powabase.ai
Pricing model
Free tier plus paid plans with monthly credits
Integrations
Claude Code, Codex, Antigravity, OpenCode, Replit, Lovable, v0, Base44, Bolt.new