Flowly's whole agent core is now open source (Apache-2.0). A personal AI agent that runs on your desktop and iPhone, uses the AI keys you already have, and keeps a private memory of your world that learns and corrects itself. Knows your world. Answers to you.
Hey Product Hunt — Hakan from Nocetic, the team behind Flowly.
Some of you saw our last launch. Since then I kept circling back to one thing that bugged me: every agent I tried lived in someone else's cloud, was stuck on one model, and forgot who I was the second I closed the tab. Powerful, but never really mine.
So we rebuilt Flowly around three things:
On your machine, your keys. It runs natively on your own computer and your phone, on the AI keys you already pay for — Anthropic, OpenAI, OpenRouter, or a local model, your call. Your data doesn't leave.
A memory of your world. This is the part I care about most. It's not a chat log, it's closer to a model of your world — your people, your projects, the way you work. It tracks what changed and when, and quietly fixes itself when it gets something wrong.
Everywhere you are. Native apps for Mac, Windows, Linux, and iPhone. One agent, in sync.
The big one for this launch: the whole agent core is now open source (Apache 2.0). Read every line, self-host it, point it at any model.
Honest state of things: the memory and the cross-session learning are live and I use them every day, but they're young — they get sharper the more you push them. If something feels off, that's genuinely useful for us.
Two questions I'd love answered in the comments:
1. What's the first thing you'd want your agent to actually remember about trust an agent with your real data?
The big one for this launch: the whole agent core is now open source (Apache 2.0). Read every line, self-host it, point it at any model.
Honest state of things: the memory and the cross-session learning are live and I use them every day, but they're young — they get sharper the more you push them. If something feels off, that's genuinely useful for us.
Two questions I'd love answered in the comments:
1. What's the first thing you'd want your agent to actually remember about you?
2. If you self-host, what would make you trust an agent with your real data?
Thanks for taking a look — we'll be in the comments all day.
— Hakan & the Nocetic team
the notch overlay is such a thoughtful choice, feels way less intrusive than another floating widget. really nice execution on something most AI tools get wrong.
How does Flowly actually pull data across all my open tabs and apps at once, is that local on-device stuff or does everything get routed through your servers?
The "memory of your world" being a model that tracks what changed and self-corrects is what would make me actually keep an agent around — a flat chat log always rots. Since data stays on-device but you've got Mac + iPhone in sync, how does that sync actually move: peer-to-peer / local network, or through a relay you host, and where does the memory live when one device is offline? And with the core open-sourced, is the memory store a documented local format I can inspect and back up, or an opaque embedded DB?
Runs natively on your own machine with your own model keys, plus a persistent memory of your world rather than just a chat log - that's a meaningfully different bet than most desktop agents. How does it decide what's worth remembering vs noise, is that tunable per-user?
Congrats on the launch! Flowly looks really interesting.
I wanted to try the mobile app, but it seems unavailable in Latin America. Is the mobile app currently limited to selected countries, or do you have plans to open availability for LatAm soon?
This is interesting a personal AI with memory could be really useful. Curious how people can manage or edit what it remembers?
Hakan, most helpers happily tell you how to do a task and then leave you to it, so one that quietly carries it out for you is refreshing. The quick shortcut to summon it is a nice touch too.
To answer your self-host question: full offline capability with a local model, plus a visible action log I can actually audit after the fact - not just sandboxing. Right now the biggest trust gap with agents that touch my real data isn't whether they're capable, it's that I usually have no idea something happened until after it already changed. Open sourcing the core is a good first step toward that.
Hi Hakan, It’s cool that the whole agent core is open source, how easy does it feel to self‑host and actually make it your own day to day?
About Flowly on Product Hunt
“A personal AI agent that runs on your desktop and iPhone”
Flowly launched on Product Hunt on July 2nd, 2026 and earned 113 upvotes and 22 comments, placing #14 on the daily leaderboard. Flowly's whole agent core is now open source (Apache-2.0). A personal AI agent that runs on your desktop and iPhone, uses the AI keys you already have, and keeps a private memory of your world that learns and corrects itself. Knows your world. Answers to you.
Flowly was featured in Android (57.3k followers), Productivity (655.6k followers), Messaging (51.9k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 330.5k products, making this a competitive space to launch in.
Who hunted Flowly?
Flowly was hunted by Hakan. 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.
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Hakan