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.
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.
This reminds me of the apache age postgres extension as well. Very cool work
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.
https://ladybugdb.com/ is a fork of Kuzu.