Hemory

Hemory is an always-on listening product that captures what you live through and turns it into a private, searchable memory — then wires that memory into your AI agents. The name comes from Hear + Memory, and the product is explicitly not meeting transcription: it listens on the phone or Apple Watch you already own and keeps every conversation as memory. Your day is automatically split into moments with speaker labels, and each moment settles into a private, searchable memory that you can connect to Claude, Codex, Cursor, or any agent over MCP. The goal stated on the site is that your AI finally has real context to revisit what you heard and build on it, with everything grounded in what actually happened — ready to answer questions or generate any document you need. Most people now work with AI agents that are powerful but cut off from the details of their actual day. The moments where commitments are made, scope is decided, or ideas are floated happen in conversation — on a walk, at lunch, in a review — and none of that becomes source material for the tools that are supposed to help you afterwards. Hemory addresses that gap by keeping the listening always on (or on exactly when you choose) and preserving what was said as searchable memory, rather than treating each session as an isolated recording you will never reopen. Instead, you get memory an agent can query, so the context behind a promise, a decision, or a plan survives past the moment it was spoken. Listening is controlled in two ways. Manual mode keeps Hemory on only when you need it, so the privacy boundary stays yours. Schedule mode lets you define windows such as weekdays 9:00–18:00, and Hemory is nudged right on time — the site describes this as what always-on feels like, and shows a running listening counter with the active schedule beside it. Quota is counted with VAD, or voice-activity detection: always-on listening sounds expensive, but VAD only counts the moments when someone is actually speaking, while silence, gaps, and background noise never touch your quota. That is why the company says you can leave Hemory listening all day — keeping your bill low is presented as Hemory's job. Once listening is running, Hemory organizes the day for you. It auto-splits your day into moments with speaker labels and shows them on a timeline with titles, times, durations, and the people involved — for example an "App 2.0 release review — scope, search latency and ship date" meeting from 10:30 to 12:00 with David and Mike, a lunch with Mike, a voice note on the walk back, and a "Product UI review · Memory palace" with Jenny and Mike. Those moments settle into a private, searchable memory. You then query it through your agent: the site shows the question "what did Daniel promise me in last Tuesday's sync?" answered by a hemory search_memory (MCP) call that returns "Daniel" · 3 sessions together with the specific commitment — Daniel committed to the final launch budget by Thursday, with his team owning the App Store screenshots. Connecting an agent takes two steps. First you start listening in Hemory; then you connect Hemory to your agent via MCP. The site lists support for Claude Code, Codex, Gemini, Cursor, VS Code, OpenClaw, Hermes, and other standard MCP clients, and shows the connection happening in seconds with terminal commands such as "codex mcp add hemory" and "claude mcp add hemory" followed by a connected confirmation and the available tool, search_memory. Once connected, you chat with your agent about the memories Hemory has heard, and the agent can revisit real, past context instead of relying only on what you paste in during a session. Privacy is positioned as a default, not a setting. Hemory states zero audio retention: your audio is never stored in the cloud, it is processed as a stream, and it is destroyed the moment processing ends. Raw audio is stored only on the listening device and is never synced across devices, so recordings stay where they were captured. A self-host option is listed as coming soon, for people who want to optionally run Hemory entirely on their own infrastructure. Combined with manual mode and scheduled listening windows, these choices are meant to keep the privacy boundary in the user's hands while still making the resulting memory available to the agents they already use. Overall, Hemory's approach is to make real life the source material. Two steps — start listening, connect your agent over MCP — sit in front of everything else, and the resulting memory is grounded in what actually happened. Rather than forcing you to write notes, record meetings, or reconstruct context later, Hemory hears it, splits it into labeled moments, stores it privately on the listening device, and exposes it to agents through a single search tool. From that foundation, answering questions or generating documents becomes one prompt away. With Hemory as source material, the site lists concrete outputs, each described as one prompt away. A monthly work report deck can be generated from the work heard over the past month and delivered as a web page with progress, key takeaways, and next month's plan, ready to present at a management meeting. A nightly journal can be produced at 22:00, writing down the interesting things from your day as a brief note — one entry every night. A smart ring PRD draft can be assembled from recent customer interviews plus internal brainstorm sessions, distilled into a complete PRD. In the agent example shown, a follow-up draft is written to follow-up.md and reported as 12 lines, ready to send, based on what was heard. Pricing starts with a Free Trial at $0 one-time with 10 hours of listening, no renewal. Starter is $10 per month with 20 hours per month, described as the budget pick for just the conversations that matter. Pro is $20 per month with 60 hours per month, aimed at professional use and enough for everyday work, and is marked most popular. Max is $50 per month with unlimited listening under a 24-hour-per-day cap and fair use, for all-day listening and building your memory palace. All plans count quota with VAD. Hemory is available for iOS through the App Store and for Android, with macOS, Windows, Linux, Web, and self-host listed as coming soon. Hemory's value proposition is straightforward: keep listening, and let every real conversation become memory your agents can search and generate from. By combining always-on or scheduled listening, automatic moment splitting with speaker labels, private-by-default audio handling, and MCP connections to the agents people already use, it aims to give AI the one thing it usually lacks — grounded context from your actual day.