Memory that knows your work
Who's who, what each project needs, and what you've already decided. Hanyx keeps it all in one place.
Hanyx remembers the people, projects and messages in your work, tells you what needs you first, and drafts the reply. Everything stays on your Mac.
Paste a message, forward an email, or drop in a Jira or GitHub link. Use the share menu or a global hotkey.
It sets a priority from P0 to P3, tells you why, and drafts a reply that sounds like you.
People, projects and decisions go into memory, so tomorrow starts where today left off.
Who's who, what each project needs, and what you've already decided. Hanyx keeps it all in one place.
Every item gets a priority from P0 to P3, the reasons behind it, and a draft you can send or edit.
GitHub and Jira, so issues and pull requests come with context.
Coming: Teams, Outlook, GmailA global hotkey hands Hanyx a thought, a link or a selection, without leaving what you're doing.
Two separate memories that never mix. Switch with one click.
A warm, low-blue Night theme for late sessions, alongside Light and Dark.
Hanyx runs on your Mac. Nothing leaves it unless you decide it should.
Hanyx shows you exactly what it knows. Every fact has a source, and every change can be undone.
Yes. Hanyx stores everything on your Mac. Requests go directly to the model provider you choose, using your own key. We don't run a server that sees your data.
Your choice. You add an API key from a supported model provider, and Hanyx talks to them directly. We'll publish the list of supported providers at launch.
Yes. Hanyx is built for macOS, with the menu bar, the share menu and native shortcuts.
Pricing isn't final yet. Everyone on the waitlist hears it first, before launch.
We're in private testing now. Waitlist members get access in small batches, and we'll email you when it's your turn.
Any time. You can delete a single memory, a whole space, or everything. Because it's stored on your Mac, deleting it there removes it. If you use sync, the deletion syncs too.
Early access goes out in small batches.