Ai

Jennah on LongMemEval: 95.6%

2026-07-29

I finished the bi-temporal part of Jennah’s episodic memory over the weekend; basically time-travel queries. I needed it so I could run LongMemEval honestly against it. Asking “what did the user believe back in March?” is very different from “what is true now?”, and if the memory system can’t distinguish between the two, it just ends up guessing. For the benchmark setup, I used Claude Opus 4.8 as both the judge and answer generator, with gemini-embedding-001 for vector embeddings (Jennah supports managed embedding as well as BYO-vectors). I ran all 500 questions from longmemeval_s_cleaned.json.

Agent · Agent · Ai · Ai · Benchmark · Benchmark · Jennah · Jennah · Memory · Memory

2 minutes

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

On Generative AI (GenAI)

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.

Ai · Ai · Genai · Llm

5 minutes