[mentalgear]

I like the ambition and the open-source spirit behind your project! Open-source graph databases are fantastic.

That said, I’d encourage you to consider leveraging existing projects rather than starting from scratch. There are already mature, local / in-browser graph databases that could benefit from your skills and vision.

For example:

- Kuzu https://github.com/kuzudb/kuzu: This project had very active development but was recently archived (as of October 10, 2025). Continuiing or forking it could be a game-changer for the community.

- Cozodb https://www.cozodb.org/ It’s very feature-rich and actively seeking contributors. Your expertise could help push it even further.

I do get the appeal of building something from the ground up; it’s incredibly rewarding. But achieving production readiness is seriously challenging and time-consuming. These projects are already years ahead in scope, so contributing to them could accelerate your impact and save you from reinventing the wheel.

[gwillen85]

Thanks for the suggestions! I'm familiar with both. Different category though - this is a SQLite extension, not a standalone database. The value prop is:

Zero friction - If you're already using SQLite (Python scripts, mobile apps, embedded systems), just .load graph_extension and you have graph capabilities Mix SQL + Cypher - Join your relational tables with graph traversals in the same query Works everywhere SQLite works - Serverless functions, Raspberry Pi, iOS apps, wherever Leverage SQLite's ecosystem - All existing tools, bindings, deployment patterns just work

Kuzu and CozoDB are excellent if you want a dedicated graph database. But if you've already got SQLite (which is everywhere), this lets you add graph features without rearchitecting.

Think of it like SQLite's FTS5 extension for full-text search - you're not competing with Elasticsearch, you're giving SQLite users a lightweight option that fits their existing workflow.

[selecsosi]

This reminds me of the apache age postgres extension as well. Very cool work

[gwillen85]

Thanks! As a Postgres user first, I really appreciate that comparison. Apache AGE does great work.

Graph databases are crucial for AI memory, especially paired with vector databases. Graph for relationships, vectors for semantic similarity - particularly powerful for embedded systems and robotics where you need lightweight, on-device reasoning.

[adsharma]

https://ladybugdb.com/ is a fork of Kuzu.