Launched this week
Powabase
Build AI apps with Postgres, RAG, and agents
1.2K followers
Build AI apps with Postgres, RAG, and agents
1.2K followers
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 products without stitching together fragmented infrastructure. Designed to work seamlessly with modern coding agents, Powabase helps teams ship faster while building more robust, token-efficient systems.
ConnectMachine
We tried building something similar internally and realized maintaining embeddings, ingestion and orchestration pipelines becomes a full-time job. Good stuff.
Powabase
@syed_shayanur_rahman It is a lot of heavy lifting for sure. The process gets even more frustrating as you build it out for multiple clients over and over.
Lancepilot
Powabase
@odeth_negapatan1 Thanks so much, really appreciate the encouragement!🙏
Great question, it's a classic trade-off: abstraction (convenience) vs. control. Powabase tries to strike the best balance here, informed by our own experience building across a lot of use cases during our dev shop days.
If you're building AI-native apps with RAG or ReAct agent orchestrations, you'll find Powabase easy to use right out of the box. But if your application needs something custom, you're not locked into the full abstractions. You can take the relevant "intermediaries" and build a custom layer on top of them to fit your design specs.
For example, say you need to supplement retrieved RAG context with metadata stored elsewhere. You can invoke the context_handler object to grab the content that normally would have been fed into the agent, then enrich it with your own logic before forwarding it along. Since everything is stateful, you have access and control over all intermediaries by directly handling the databases.
So rather than locking you in, the goal is to give you sensible defaults when you want them. It also saves you tons of coding agent tokens from having to build these abstractions from first principles or gluing them from open source frameworks.
If you share more about what you're building, we'd be happy to advise on which features would be most relevant!
This is the first AI backend product that actually feels opinionated in a good way. Everyone keeps rebuilding the same RAG + auth + vector DB stack from scratch lol.
Powabase
@himani_sah1 Thanks a lot! We were inspired from our own experience building over 100 AI apps as a dev shop, so hopefully the lessons learned translated well into Powabase's design.
Finally someone saying AI apps need their own backend abstraction instead of another wrapper around OpenAI APIs.
Powabase
@campritchard thanks for the support!
Powabase
@campritchard Really appreciate the encouragement!
GrowMeOrganic
ngl this sounds super ambitious. Congrats for pulling this off so well.
Powabase
@iamanantgupta Thanks! We still have a lot planned on our roadmap. It's one thing to get it into a production-ready state, but another to keep it valuable for developers amidst a rapidly changing AI landscape.
We are constantly monitoring the AI landscape to make sure that we're always incorporating the most sensible abstractions.