Hemory
Product Hunt Zac Zuo
Hemory launched on Product Hunt. It turns phone and Watch conversations into a private, searchable memory for AI to use.
Based on reporting by Product Hunt, Zac Zuo — read the original for the full story.
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Hemory is trying to turn everyday chatter into something software can actually use. The app listens on the phone or Apple Watch you already own, then breaks the day into moments with speaker labels and stores it as a private, searchable memory.
The pitch is more ambitious than simple transcription. Hemory says it is not a meeting tool at all; it is built around keeping conversations around as context, so you can come back to what was said instead of just reading a raw transcript later.
That context can also be handed off to AI systems. Hemory connects through MCP to Claude, Codex, Cursor, or other agents, so those tools can revisit what was heard and build on it.
On Product Hunt, the launch page shows a 5.0 rating from 1 review and 271 followers. The product is tagged as Productivity, Artificial Intelligence, and Audio, which fits the basic idea pretty neatly: capture more of life, then make it searchable enough for machines to remember too.
My take — AI-written commentary, not fact-checked reporting
This is the kind of AI product that makes more sense than yet another chatbot with a shiny face. Memory is the real bottleneck, and anything that gives agents actual context instead of guessing is a serious move. The trick, of course, is whether people want their casual talk turned into infrastructure; some call that productivity, others call it a very polite surveillance system.
Read more about this at: Product Hunt