@ai.stack.signal: What if your AI agent could remember the conversations that happened outside the chat window? Hemory is a mobile and Apple Watch listening product that turns conversations into labeled, searchable moments. It then exposes that memory through MCP so tools such as Claude, Codex, Gemini, Cursor, Hermes, and other compatible clients can use the context. The stronger product idea is not generic transcription. It is the bridge from real-world memory to a useful deliverable. Accumulated conversations could become: 1. A weekly brief of requests and objections. 2. Customer-interview synthesis. 3. Product requirement documents. 4. Promised follow-up lists. 5. Product ideas and personal journals. Each output should link back to the specific conversation moment that supports it. Privacy is part of the product. Hemory says raw audio remains on the listening device, cloud audio is processed as a stream and destroyed after processing, and a self-hosted option is coming. These are company claims and were not independently audited for this post. Hemory's privacy policy also states that users are responsible for providing required notices and obtaining required consent before recording other people. A safer first experiment is deliberate, opt-in capture rather than continuous recording. Set a retention period, make deletion easy, and give everyone a visible way to know when recording is active. Sources: Hemory product and MCP workflow https://hemory.com/ Product Hunt, Hemory https://www.producthunt.com/products/hemory Hemory App Store listing https://apps.apple.com/us/app/hemory-voice-notes-ai-memory/id6774048114 Hemory privacy policy https://www.hemory.com/legal/privacy/ #AI #AIAgents #MCP #ConversationIntelligence #Productivity #Privacy #AIStackSignal

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