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Powabase launches all-in-one backend platform for AI-native applications with Postgres, RAG, and agent support

By

fmerian

16d ago· 3 min readenProduct

Summary

Powabase is a backend-as-a-service platform that unifies Postgres, vector storage, RAG pipelines, agent runtimes, memory, auth, and file storage into a single infrastructure for building AI-native applications. Co-founder Hunter explains that after building ~100 production AI apps across regulated industries (finance, insurance, education, government), they identified a recurring pattern where nearly every AI app needs the same stack but currently requires stitching together 6-8 separate tools with extensive glue code. Powabase aims to eliminate this fragmentation, working seamlessly with coding agents to help teams ship faster while building more robust, token-efficient systems.

Key quotes

· 3 pulled
Nearly every AI-native app ends up needing the same stack: Postgres, a vector store, RAG pipelines, an agent runtime, memory, auth, and file storage.
Today you stitch that together from 6–8 tools, write a lot of glue code, and then watch your coding agent burn tokens navigating it.
We've built ~100 production AI apps across regulated industries — finance, insurance, education, government.
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Powabase is a backend-as-a-service for AI-native applications, combining Postgres, RAG, agents, memory, workflows, and automation primitives in one platform. It helps agencies and in-house IT teams build new AI apps or add AI automation to existing produc

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