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.
Agent · Agent · Ai · Ai · Context · Context · Jennah · Jennah · Memory · Memory
2 minutes
2024-08-25
TL;DR: To my fellow system builders, don’t dismiss it but understand how it works. As the saying goes, “a tool is only as good as the hands that wield it”. As a software craftsman, your tools are important. And equally so, are your skills in using them effectively. ~~ There’s no escaping GenAI nowadays, is there? I’m sure you’ve seen the full spectrum of its effects by now; from total naysayers to skeptics, to cautious optimists, to proponents and fanatics, to full-blown doom-bringers. In the cloud space, the big three cloud providers are “all in” on AI, as you can see in their headlines. Furthermore, there are thousands of AI-powered startups cropping up left, right, and center, with massive venture capital and valuations. If you’re not in the thick of these things, it gives the feeling that if you don’t invest, or apply AI in your business, or products, it’s just a matter of time when you’ll be left behind and eventually relegated into the pages of failures in history. It’s a scary thought. The FUD is real.
5 minutes