Personal AI memory is a fragmented mess in 2026. Your medical AI doesn’t know your travel AI just booked you a hotel with feather pillows. This episode explores the architectural challenge of building a portable, federated, and persistent memory layer for your AI assistants. We dive into the "Data Exit Strategy" you need to own your memories, comparing cloud-first solutions with local mirrors, and examining frameworks like Mem zero, Letta, and Zep. Discover why vector databases alone aren’t enough, how temporal knowledge graphs prevent AI confusion, and the role of the Model Context Protocol (MCP) as the universal "USB port" for AI memory. If you want to move past renting your memories and start owning them, this is your blueprint.