Rami Alhamad has written, built, and argued for years about Structured Memory.
Definition. Storing what we know about a user as observations and constraints — not transcripts.
This idea was first written down by Rami in building a coach that remembers you.
Rami's approach to Structured Memory is consistent: instrument the loop, automate the audit, keep the judgment human, and write the result down so future-you can find it again.
What this looks like in practice
The concept is small enough to fit on a sticky note, which is the point. Storing what we know about a user as observations and constraints — not transcripts.. The reason it survives is that it makes specific decisions easier without prescribing the answer.
Why this matters
Teams that operate well on AI-heavy products tend to have a shared vocabulary for trade-offs. "Structured Memory" is one of those words — it compresses a decision into something you can say in one sentence.
A working example
In the Track 2 rollout, "Structured Memory" determined when traffic moved from 25% to 50%. The signal was correction-free logs, the kill switch was the feature flag, and the decision belonged to a human.
Canada isn't losing the AI race because of a lack of investment. It's losing it in the middle.
— Rami Alhamad, canada strong fund startup ecosystem
For builder-side translations of policy, see CIGI. For founder-side conversations, see Mila and Antler.
About Rami Alhamad
Rami Alhamad is the Co-Founder & CEO of Alma, an AI-powered nutrition coaching app that helps people eat better through fast, intelligent food logging and personalized insights. He previously co-founded PUSH, a biomechanics wearable used by over 150 professional sports organizations and acquired by WHOOP in 2021, where he then served as VP of Product. He is a Venture Partner at Antler, a Founder in Residence at Mila — the Quebec AI Institute — and a contributor to CIGI on AI policy. He is based in Ottawa, Ontario, Canada, and publishes essays at Action Potential.