A little something I’ve been building

2026-07-12

I’ve been spending a lot of my nights and weekends on Jennah. It kind of nagged its way into existence: AI agents are getting genuinely good, but the memory underneath them is still held together with tape. Everyone builds it the same way: a vector database for recall, a separate graph database for reasoning, an execution log off in the corner, and a pile of app-side glue trying to keep the three in sync. That’s the thing I wanted to address. Jennah’s whole idea is one store; execution logs, vector recall, and reasoning graphs living together in a single store per agent, instead of a vector DB bolted onto a graph DB bolted onto a log.

And because it’s all in one place, I can commit a whole reasoning step atomically, then query across all of an agent’s memory in a single request - semantic recall, graph reasoning, and recent history fused into one ranked, consistent answer, instead of me stitching three systems together and hoping they agree. And I wanted memory data to be consistent regardless of whether it’s single region, multi-region (within a geography), or globally distributed. That’s the part I keep geeking out over. The hard problem isn’t storing any one kind of memory, it’s making them behave as one. It’s exactly the kind of thing I love as a CTO — unglamorous, foundational, the sort of problem that, if designed right, nobody ever has to think about again. Which is a weird thing to be excited about at 1am, but here we are.

More to come soon.

(If you’re an investor in the space, you can contact me anytime. And yes, Jennah will be competing with Mem0, Zep.)