About the author
OMem is designed and built by Xichang (Seacen) Zhao.
Why this, by this person
Section titled “Why this, by this person”I work as an IT lead at Unilever, on the front line of how a large global enterprise actually runs — and how it actually adopts AI. That vantage point is the whole reason OMem exists.
From inside a big company you see two things at once that most AI tooling misses. First, where the real pain is: the work that matters never lives in one tidy system — it’s scattered across inboxes, shared drives, decks, spreadsheets, meeting notes, scanned PDFs. Second, why enterprise AI keeps stalling: the genuinely capable agents that arrived this year can do real work, but they can’t see any of that context, so day to day they still feel like they’re “almost” helping.
I don’t just observe that gap from a slide — I work in it. I’ve spent the last stretch adopting AI hands-on in real, high-stakes work: preparing executive materials, automating the parts of the job that used to eat evenings, and building tools that make AI genuinely useful in a business setting rather than a demo. OMem is one of those tools — written in my own time, evening after evening, because I needed it myself before I could ask anyone else to.
That’s the lens behind every design choice here: local-first because real work data is sensitive and shouldn’t need an IT ticket; agent-agnostic because the hot agent changes every year but your work context shouldn’t; Chinese as a first-class citizen because the work I live in is genuinely bilingual. These aren’t features chosen in the abstract — they’re what the front line actually needs.
Get in touch
Section titled “Get in touch”I’d genuinely like to hear from you — whether you’re trying OMem yourself, a team that wants to roll it out, or a company or platform interested in working together. The commercial side is an open, welcome conversation.
Xichang (Seacen) ZhaoBU Digital Technology Head, Greater China · UnileverView profile on LinkedIn →