I've been working on a multi-model database called NodeDB.

Originally, i've found out the idea of SurrealDB quite good. However, it doesn't have some graph and vector features that I need. And since it is just a KV wrapper, instead of purpose-built engine, the performance will never be close to the specialized databases (like Neo4j, Pinecone, Clickhouse, etc).

And i've asked myself, what if, there is a database that have the same idea, but built differently? Instead of just treating it as KV database, we build specialized engines for the data.

Besides that, I want it to be able to support my IOT/edge project, where i need offline sync capabilities (Currentyl still in progress).

Will it work?

I put it into test. I've been experimenting and researching for a year, creating multiple versions, and then I created NodeDB.

Disclaimer: It is still in public beta (as of May 2026), but it really excites me if I can make this db work. And I use AI as assistant for coding and planning. It is nearly impossible to do as a solo developer without any AI assistance.

Would love feedback from HN:

- Are there specific features or improvements that would make it more useful?

If you're interested in experimenting or contributing, the repo is here: GitHub Repo: https://github.com/nodedb-lab/nodedb

Looking forward to your thoughts!