Highlights
What you can do with it
- Building the backend for an AI-native application
- Running retrieval-augmented generation over uploaded documents
- Deploying agents that call external services
How to use it
- 1 Create a project and get its own Postgres database
- 2 Configure storage, authentication, and real-time features
- 3 Upload documents for automatic extraction and indexing
- 4 Build agents that call HTTP or MCP services
Who it is for
Pros
- One platform instead of stitching several services
- Free version available at $0 per month
- Built-in RAG pipeline and agent runtime
Limitations
- Higher tiers cost $25, $300, or custom enterprise pricing
- Usage-based billing means costs grow with traffic
- Moving an existing app off another backend takes engineering work
What Powabase is
Powabase is an integrated backend platform built specifically for AI applications. Its core combines the Postgres database, retrieval-augmented generation, and AI agents in one place. Each project receives an independent Postgres database, storage, authentication, real-time communication, and an agent runtime environment, which removes the need to piece together several separate services. Documents are automatically extracted, embedded, and indexed when uploaded, and multiple file formats are supported. For AI work, a range of agent tools can call HTTP or MCP services. The stated goal is to serve as an integrated backend for AI-native applications, and pricing follows a usage-based model.
What you can do with it
- Run a Postgres database dedicated to each project
- Store files and handle authentication and real-time communication
- Index uploaded documents for retrieval-augmented generation
- Deploy agents that call external HTTP or MCP services
Because these pieces ship together, a small team can stand up an AI application backend without assembling several vendors first.
Who it is for
- Developers building AI-native applications
- Teams that want one backend instead of several services
- Projects that need retrieval over their own uploaded documents
The site positions it as a replacement for traditional backend services, aimed at developers who want stronger AI functionality.
What to watch out for
Pricing is usage-based: the free version is listed at $0 per month, the service version at $25 per month, the scale version at $300 per month, and enterprise pricing is custom. That means a free project can grow into a real bill as traffic and storage rise. Migrating an existing application away from another backend still takes engineering work. Agent behavior depends on the models and services you connect, so plan for testing and monitoring rather than assuming it works out of the box.
FAQ
What is included in the free version?
The site lists a free version at $0 per month, with usage-based pricing above it.
What file formats can it index?
The platform supports multiple file formats, with automatic extraction, embedding, and indexing on upload.
Can agents call outside services?
Yes. Agent tools can call HTTP or MCP services.
Why it is free
What the official page says： 免费版免费
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.