BlitzGraph – Supabase for graphs, built for LLM agents

In plain words

BlitzGraph is a graph database designed specifically for LLM agents as an alternative to traditional SQL databases. It allows records to belong to multiple types simultaneously and evolve over time, with polymorphic relations as a core feature. This approach eliminates the need for awkward self-joins and enables proper tracking of entities throughout their lifecycle without forcing data into a rigid table structure. The system models relationships more naturally than legacy relational databases.

written from the facts on this page · September 2026

From the sources

Model reality as it is, in graphs. Your agents compose typed JSON queries programmatically. No SQL, no joins, no ORMs.

In the maker’s words, at launch

Hello HN After becoming allergic to SQL, I opened 120+ issues in Dgraph, Typedb and surrealdb looking for the perfect graphDB. None of them was built for agents nor were they the perfect fit for what we wanted to achieve: fully ditching the SQL legacy to properly model reality. So we decided to build BlitzGraph In…

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  Hey HN! We are Jonathan & Guy, and we are happy to share a project we’ve been working on. ChartDB is a tool to help developers and data analysts quickly visualize database schemas by generating ER diagrams with just one query. A unique feature of our product is AI-Powered export for easy migration. You can give it a try at https://chartdb.io and find the source code on GitHub. Next steps ---> More AI. We’d love feedback :)

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• IB
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  We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…

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