Hemory comes from Hear + Memory. It's not meeting transcription: Hemory listens on the phone or Apple Watch you already own, and keeps every conversation as memory. Your day is auto-split into moments with speaker labels, then settles into a private, searchable memory. Connect it to Claude, Codex, Cursor, or any agent over MCP, and your AI finally has real context to revisit what you heard and build on it.
I spend half to two-thirds of my workday in meetings, yet I kept forgetting to start recording—or leaving it running and ending up with several conversations merged into one giant transcript. Even with meeting summaries, piecing together what we’d discussed across different days was still manual work.
So we spent nine months building Hemory: continuous listening that turns everyday conversations into searchable, reusable memory.
Here’s how it works:
- Listen for up to 24 hours: Start with one tap and keep listening in the background with Max. - Conversations organize themselves: Hemory separates conversations by activity in real time. - No extra hardware: Use the iPhone, Android phone, or Apple Watch you already own. - Give your AI real context: Connect Hemory to Codex, OpenClaw, or other compatible AI tools through MCP.
The moment it clicked for me was asking Codex to work with those memories:
“What interesting things did you hear yesterday?” “Write my half-year review based on what you’ve heard.” “Pull together our pricing discussions from this month.”
Watching it connect conversations across time and turn them into useful work gave me goosebumps.
Only detected speech counts toward your usage quota.
Our mission: remember what you’ve said and heard—and give your AI the context it needs to help.
Try Hemory at hemory.com, and tell us: what would you ask an AI that remembered your conversations? I’ll be here in the comments all day.
the phone + apple watch angle feels right, especially the idea of keeping conversations searchable instead of another pile of transcripts. curious how you handle moments people don't want remembered?
I no longer worry about missing key discussions by forgetting to hit record. Being able to query AI against my full day‑long conversation memory really boosts my work productivity.
This looks awesome! How much storage would all this listening data take up, does it save the context to the cloud and then delete the recordings, or does it just work off recalling information from the recordings itself?
we record calls at Dial too, always disclosed to the person on the other end since it's a business line. an always-on phone mic picking up everyone around you, including people who never agreed to it, seems like the harder problem to solve than the memory/search part. how does Hemory handle consent when it's the other person in the room or on the call, not the account owner, who's being recorded
this is really helpful, sometimes I had several meetings a day and meeting summaries were scattered, I think Hemory will help me organize better, especially with the searchable feature
Maker here — and the person who uses it most.
What got me is how much good stuff just evaporates. A meeting finally gets going, someone says the one line that lights you up, you reach to save it — and by the time you have it, the room has moved on without you. One spark saved, ten smothered. I did that for years and called it diligence.
Now my team writes nothing down. We just talk, because everyone knows Hemory is listening. At night it turns the day's conversation into what we should actually build, we ship overnight, and by morning most of yesterday's brilliant ideas are dead on contact with reality. A bad idea dies in a day instead of a quarter. (Some of that code got written at 5am. My cofounder keeps telling me to go home and sleep.)
I carry nothing extra for it — my iPhone and my Apple Watch are enough. I live by "know more, carry less," and this is the first memory tool that doesn't make me a liar.
The best part isn't a feature. It's the archive nobody wrote: ask why we decided something, and you get who said it and how the call went down.
Recordings aren't stored in the cloud — transcribed, then thrown away. Your words stay yours.
You say ten times more than you type. Now you keep all of it.
my memory is so bad at this point I'll try literally anything, this included.
I often forget important things during meetings, and this software helps me record and organize key points from meetings—it's very useful.
Okay, this is actually pretty cool . Being able to remember all those random conversations could be really useful
That's great! I have two questions. I use an iPhone:
1. How well does the phone get hot and how much does it drain the battery?
2. Will recording be interrupted when other apps use the microphone?
Congrats on launch! How do you handle moments someone doesn’t want recorded? ?
The Apple Watch part caught my attention. I already wear mine all day, so not needing another gadget is nice.
I'd probably end up searching for random conversations just to see what I was talking about that day.
Came across Hemory today. Interesting approach.
I’ve used some AI meeting note tools before, but the problem is I rarely go back to those notes. Turning conversations into something searchable and connected over time makes more sense to me.
The speaker identification looks useful too. Will be interesting to see how well the memory works after using it for a few weeks.
I jot down some inspirations in Notes, but I feel like I'm not capturing everything. Can Hemory just take over and replace my memo? And can it connect to Codex to generate ready-to-use scripts directly for me, right?
Congrats on launch! Continuous listening is interesting, though privacy would be the first thing I’d want to understand.
The transition from "recording a meeting" to "seamlessly capturing daily memories" is such a huge design shift. Love that it automatically splits audio by context so you aren't left with an overwhelming 24-hour file, and MCP integration with tools like Claude makes it actually actionable. Definitely upvoted!
About Hemory on Product Hunt
“Keep listening. Searchable memory for your AI agents.”
Hemory launched on Product Hunt on September 26th, 2026 and earned 319 upvotes and 65 comments, earning #1 Product of the Day. Hemory comes from Hear + Memory. It's not meeting transcription: Hemory listens on the phone or Apple Watch you already own, and keeps every conversation as memory. Your day is auto-split into moments with speaker labels, then settles into a private, searchable memory. Connect it to Claude, Codex, Cursor, or any agent over MCP, and your AI finally has real context to revisit what you heard and build on it.
Hemory was featured in Productivity (661.6k followers), Artificial Intelligence (479.5k followers) and Audio (2.2k followers) on Product Hunt. Together, these topics include over 291.4k products, making this a competitive space to launch in.
Who hunted Hemory?
Hemory was hunted by Zac Zuo. 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.
Want to see how Hemory stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
I’m Yingqi, founder of Hemory.
I spend half to two-thirds of my workday in meetings, yet I kept forgetting to start recording—or leaving it running and ending up with several conversations merged into one giant transcript. Even with meeting summaries, piecing together what we’d discussed across different days was still manual work.
So we spent nine months building Hemory: continuous listening that turns everyday conversations into searchable, reusable memory.
Here’s how it works:
- Listen for up to 24 hours: Start with one tap and keep listening in the background with Max.
- Conversations organize themselves: Hemory separates conversations by activity in real time.
- No extra hardware: Use the iPhone, Android phone, or Apple Watch you already own.
- Give your AI real context: Connect Hemory to Codex, OpenClaw, or other compatible AI tools through MCP.
The moment it clicked for me was asking Codex to work with those memories:
“What interesting things did you hear yesterday?”
“Write my half-year review based on what you’ve heard.”
“Pull together our pricing discussions from this month.”
Watching it connect conversations across time and turn them into useful work gave me goosebumps.
Only detected speech counts toward your usage quota.
Our mission: remember what you’ve said and heard—and give your AI the context it needs to help.
Try Hemory at hemory.com, and tell us: what would you ask an AI that remembered your conversations? I’ll be here in the comments all day.