Powabase
FreePowabase offers a unified backend for AI applications. It integrates Postgres, RAG, agents, auth, storage, and realtime features into a single platform.
Powabase simplifies AI app development by providing a comprehensive backend solution. You get Postgres with RLS, a robust auth service, object storage, and realtime capabilities all in one place. This platform streamlines your workflow, allowing you to focus on building intelligent applications without managing multiple services. You can connect your AI coding agents directly to Powabase, enabling them to interact with your data and services seamlessly.
Build AI-native apps faster with Powabase's integrated RAG pipeline and agent runtime. You can describe your desired functionality, and the platform handles the retrieval, agent orchestration, and workflow setup behind a single REST API. This eliminates the need for separate vector databases, agent frameworks, and complex glue code. Powabase is fine-tuned for AI coding agents, making it easier for them to understand and execute tasks related to your application's needs.
Start building your AI application from zero to a working MVP in as little as one week. Powabase offers up to 70% token savings on optimized agent setups, reducing your operational costs. The platform supports various AI models and tools, including Claude and Codex, and provides a simple command to install its skills, allowing your agent to speak the platform natively. You can easily build features like a support agent that answers questions from your product documentation, powered by your Powabase backend.
Experience a 24% lower build cost for AI applications with Powabase. The platform's all-in-one nature reduces complexity and accelerates development cycles. You can deploy live features on your site, such as a support bot that accesses your knowledge base embedded and indexed in pgvector. Powabase provides a unified API endpoint for agent runs, streaming responses via SSE, making integration straightforward and efficient for your development team.
Use Cases
• Build AI-powered customer support chatbots. • Develop intelligent agents that query your product documentation. • Create applications that leverage RAG for enhanced data retrieval. • Integrate AI agents into your existing workflows. • Accelerate the development of AI-native applications.
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