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.
@mi_leeli Thanks for giving it a try! Let it listen for a full day, then connect it to your AI over MCP and ask what you talked about. That's where it really clicks.
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Okay, this is actually pretty cool . Being able to remember all those random conversations could be really useful
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I often forget important things during meetings, and this software helps me record and organize key points from meetings—it's very useful.
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Putting the memory behind MCP instead of inside yet another app is the right call. Something we learned building the AI Applyd MCP server: agents over-fetch when a tool has no clear scope, so the shape of the query tool matters as much as the data. When Claude asks Hemory something, does it get whole moments back, or can it narrow to a time window or one speaker first?
@whateverneveranywhere Thanks, Ava, great point! It narrows first. The agent can filter by time window, speaker, or topic, and gets back only the relevant excerpts, not whole moments or days, so it doesn't over-fetch.
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Honestly, the 'I forgot to hit record' thing happens to me all the time.
@sukumar_sukumar1 Thanks! Same here. I kept forgetting to start recording, and then forgetting to stop. That's exactly why I built Hemory. Let it listen for a full day and see for yourself. Hope you love it!
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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.
@evanbuildsai Thanks for checking it out! That's the idea. You don't have to go back to your notes, your AI does it for you. Let it listen for a full day, then ask your AI over MCP about your day. Hope you love it!
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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!
@romy_chou Thank you so much for the upvote! We spent a lot of time on splitting the day by topic. After a full day of listening, you see every conversation neatly laid out on your timeline. That's a big aha moment for us. Can't wait for you to have yours!
Expertise AI
this looks pretty good, gonna give it a try and see how it goes for me.
Hemory
@mi_leeli Thanks for giving it a try! Let it listen for a full day, then connect it to your AI over MCP and ask what you talked about. That's where it really clicks.
Okay, this is actually pretty cool . Being able to remember all those random conversations could be really useful
I often forget important things during meetings, and this software helps me record and organize key points from meetings—it's very useful.
Putting the memory behind MCP instead of inside yet another app is the right call. Something we learned building the AI Applyd MCP server: agents over-fetch when a tool has no clear scope, so the shape of the query tool matters as much as the data. When Claude asks Hemory something, does it get whole moments back, or can it narrow to a time window or one speaker first?
Hemory
@whateverneveranywhere Thanks, Ava, great point! It narrows first. The agent can filter by time window, speaker, or topic, and gets back only the relevant excerpts, not whole moments or days, so it doesn't over-fetch.
Honestly, the 'I forgot to hit record' thing happens to me all the time.
Hemory
@sukumar_sukumar1 Thanks! Same here. I kept forgetting to start recording, and then forgetting to stop. That's exactly why I built Hemory. Let it listen for a full day and see for yourself. Hope you love it!
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.
Hemory
@evanbuildsai Thanks for checking it out! That's the idea. You don't have to go back to your notes, your AI does it for you. Let it listen for a full day, then ask your AI over MCP about your day. Hope you love it!
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!
Hemory
@romy_chou Thank you so much for the upvote! We spent a lot of time on splitting the day by topic. After a full day of listening, you see every conversation neatly laid out on your timeline. That's a big aha moment for us. Can't wait for you to have yours!