Keep listening. Searchable memory for your AI agents.
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.
About Hemory on Product Hunt
“Keep listening. Searchable memory for your AI agents.”
Hemory launched on Product Hunt on September 26th, 2026 and earned 318 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.
On the analytics side, Hemory competes within Productivity, Artificial Intelligence and Audio — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Hemory performed against the three products that launched closest to it on the same day.
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.
Zac Zuo
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.