Hemory

Always-on voice capture and searchable memory for AI agents

Productivity & Office Productivity ToolsSubscription

$10/moStarting price

80Monthly visits

About Hemory

Hemory records conversations and meetings in real time, converting speech into searchable, private memory that AI agents can query via MCP. Users can listen manually or schedule automatic capture during set hours, with voice-activity detection ensuring only spoken segments count against usage limits. The captured audio is processed locally and never stored in the cloud, with raw files kept only on the user’s device. Once connected to an AI agent, Hemory enables generation of documents, summaries, or reports directly from the recorded sessions. The tool supports multiple platforms including iOS, Android, and desktop, with upcoming support for macOS, Windows, Linux, and self-hosted deployment. It integrates with mainstream agents like Claude Code, Codex, and Cursor, allowing users to ask questions or draft follow-ups based on past conversations. Transcription is available in over 100 languages, with features like speaker recognition, auto activity segmentation, and type-aware summaries. A built-in Q&A agent and Apple Watch listening are also included.

Key features

Always-on or scheduled listening modes
Voice-activity detection (VAD) for efficient usage
100-language transcription
Auto activity segmentation and type-aware summaries
Speaker recognition by voice
Built-in Q&A agent
MCP integration for AI agents
Apple Watch listening support

Use cases

Generating monthly work reports from recorded meetings
Drafting follow-up emails or documents from past conversations
Creating PRDs from customer interviews and brainstorm sessions

Pros

Always-on listening with voice-activity detection to minimize usage costs
Local processing and storage of audio with no cloud retention
Integration with multiple AI agents via MCP for memory-based generation
Multi-platform support including mobile and desktop
Over 100-language transcription and speaker recognition

Cons

No free tier beyond a one-time 10-hour trial
Self-hosting option is listed as 'coming soon'
Limited to voice capture; no video or screen recording
Requires an MCP-compatible AI agent for full functionality

Frequently asked questions about Hemory

What is Hemory and what does it do?

Hemory is a tool that records conversations and meetings in real time, converting speech into searchable, private memory that AI agents can query via MCP. It captures audio locally, processes it on-device, and enables users to generate documents, summaries, or reports from recorded sessions.

Who is Hemory designed for?

Hemory is designed for professionals, teams, and individuals who need to capture, organize, and leverage real-world conversations for tasks like drafting follow-ups, generating reports, or creating PRDs. It suits users who rely on AI agents for productivity and documentation.

How does Hemory handle privacy and data storage?

Hemory processes audio locally and does not store raw files in the cloud. Audio is kept only on the user’s device, and the tool offers a self-hosted option for users who prefer to run it on their own infrastructure.

What platforms and devices does Hemory support?

Hemory supports iOS, Android, and desktop platforms, with upcoming support for macOS, Windows, Linux, and self-hosted deployment. It also includes features like Apple Watch listening for convenience.

How does Hemory integrate with AI agents?

Hemory connects to AI agents like Claude Code, Codex, and Cursor via MCP, allowing users to query recorded conversations or generate documents directly from the memory. This integration enables seamless workflows for tasks like drafting follow-ups or creating reports.

What languages does Hemory support for transcription?

Hemory supports transcription in over 100 languages, with features like speaker recognition, auto activity segmentation, and type-aware summaries to enhance usability.