100-language transcription
Transcribes spoken sessions in 100 languages and produces timestamped, speaker-tagged, AI-polished transcripts.
Hemory es una herramienta de escucha y memoria siempre activa que transcribe conversaciones del mundo real, las organiza como actividades consultables y las pone a disposición de agentes de IA integrados y externos. Convierte reuniones, notas de voz y otras experiencias habladas en resúmenes, respuestas y documentos.
Hemory is a listening and memory tool that captures spoken experiences, transcribes them, and organizes the results into searchable activities. It is intended to help users retain context from meetings, conversations, voice notes, and other real-world interactions.
The captured material can be queried in Hemory’s built-in Q&A agent or shared with compatible external agents through the Model Context Protocol (MCP). Those agents can use the memory as source material for follow-ups, reports, journal entries, product documents, and other generated outputs.
Transcribes spoken sessions in 100 languages and produces timestamped, speaker-tagged, AI-polished transcripts.
Automatically separates captured audio into activities and creates type-aware summaries and minutes.
Recognizes speakers by voice where available, supports transcript search, and lets users replay individual transcript lines on the listening device.
Answers questions about captured memories, including questions about decisions, commitments, and earlier conversations.
Connects Hemory to compatible MCP clients so external agents can search memories and use them to generate documents and other outputs.
Listening can be started manually or scheduled for defined periods. Voice-activity detection excludes silence, gaps, and background noise from listening-time calculations.
Search previous discussions for commitments, owners, and dates, then use an agent to prepare a follow-up for a later check-in.
Provide a month of captured work conversations to an MCP-connected agent and generate a report deck with progress, takeaways, and next steps.
Schedule a recurring workflow that turns notable moments heard during the day into a brief journal entry.
Combine customer interviews and internal brainstorming sessions as source material for a structured product requirements document.
Use the iPhone, Apple Watch, or Android app to capture conversations and voice notes that need to be searchable later. Android support requires version 10 or later.
The site lists iPhone, Apple Watch, and Android. Android requires version 10 or later. Web, macOS, Windows, Linux, and self-hosted versions are listed as coming soon or planned.
Voice-activity detection counts periods when someone is speaking. Silence, gaps, and background noise do not consume the listening allowance.
Yes. Hemory supports MCP connections to compatible clients, with examples including Claude Code, Codex, Gemini, Cursor, VS Code, OpenClaw, and Hermes.
Hemory states that raw audio is not stored in the cloud. It is kept briefly for transcription and then permanently deleted; audio on the listening device remains local and can be managed or deleted there.
Listening can continue, but new audio is no longer uploaded for processing until additional allowance is available. Previously generated memories remain available.
Los datos de tráfico son solo como referencia.
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