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This is not beta. This is alpha.
- - -
After becoming allergic to SQL, I opened 120+ issues in Dgraph, Typedb and surrealdb looking for the perfect graphDB.
What were those 120+ issues supposed to do?
That sounds suspiciously like something OpenClaw would think is a good idea. And surely only an agent would think it a good idea to brag about here.
> I opened 120+ issues in Dgraph, Typedb and surrealdb looking for the perfect graphDB Can you share some examples? What was wrong with those?
what makes you say that you're more suitable for agents compared to say neo4j and typedb? is it the temporal modeling? congratulations for the beta by the way!
Say you want to build a context layer for your company with BlitzGraph. Agents would use ephemeral subspaces to gather as much info as possible prior to re-categorize it, store files natively, keep episodic memories, track everything that happens to each memory or record with the native $history. Also the query language is in JSON, so it's easy to build programatically, it'sis strongly typed, and errors are written to guide agents to fix them. Agents can also batch-query docs, which are dense and straight to the point for token optimization (and the discovery tree for related docs is also optimized for them)
The long term objective is to become the "brain" or logic/storage layer of AI agents
"BlitzGraph beta · data may be wiped without notice · expect resets" This is not beta. This is alpha. - - - After becoming allergic to SQL, I opened 120+ issues in Dgraph, Typedb and surrealdb looking for the perfect graphDB. What were those 120+ issues supposed to do? That sounds suspiciously like something OpenClaw would think is a good idea. And surely only an agent would think it a good idea to brag about here.
On the issues: those were filed by hand over a couple of years trying to ship products on these DBs. Probably came across as bragging but the point was that I spent a big chunk of my life digging into graph and modern databases, and the gaps pushed me to give up and build one that gathers all their best ideas
Just build a decent rdf database, with SPARQL, basic inferencing and SHACL support rather then reinventing another thing
We did borrow the inference ideas tho, the inference/recursive relations are on the oven!
what makes you say that you're more suitable for agents compared to say neo4j and typedb? is it the temporal modeling? congratulations for the beta by the way!
Not the blitz author. Neo4j was freaking slow when I tried to use it.