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OMem
Local-first work memory for your AI agents
OMem is a local-first, agent-agnostic memory layer that automatically turns your real work — mail, calendar, meeting notes, and files — into a wiki any AI agent can query. The capable agents (Claude Code, Codex, …) can finally work from your actual work context instead of a blank page
Hi PH 👋 I'm Seacen, BU Digital Technology Head for Greater China at Unilever — so by day I'm on the front line of how a big company actually adopts AI, and I kept hitting the same wall: the genuinely capable agents can do the work, but they can't see *my* work.
I built OMem in my own time to close that gap, and I've been living on it daily for a couple of months — it's how I hand my own projects' context to the agent I build with. The thing I most want to find out now is whether it gives other people that same "oh, the AI finally gets it" moment.
Two things I cared about: it's local-first (your work context is plain Markdown on your own disk, not a vendor cloud — you can read it, grep it, take it anywhere), and it's agent-agnostic on purpose, because the hot agent changes every year but your work memory shouldn't be locked to any one of them. Happy to answer anything in the comments.
About OMem on Product Hunt
“Local-first work memory for your AI agents”
OMem was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #107 on the daily leaderboard. OMem is a local-first, agent-agnostic memory layer that automatically turns your real work — mail, calendar, meeting notes, and files — into a wiki any AI agent can query. The capable agents (Claude Code, Codex, …) can finally work from your actual work context instead of a blank page
On the analytics side, OMem competes within Email, Artificial Intelligence, GitHub and Home office — topics that collectively have 549.9k followers on Product Hunt. The dashboard above tracks how OMem performed against the three products that launched closest to it on the same day.
Who hunted OMem?
OMem was hunted by Xichang(Seacen) Zhao. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of OMem including community comment highlights and product details, visit the product overview.
Xichang(Seacen) Zhao