Portable Memory
Portable Memory is a research initiative to develop the open public infrastructure needed for individuals to own, control, and benefit from persistent AI capabilities across every stage of life. Rather than allowing personal knowledge, preferences, experiences, credentials, and interactions to become locked inside proprietary AI platforms, the initiative explores the standards, protocols, governance models, and reference implementations needed to make personal AI portable, interoperable, and user controlled.
The Future of Personal AI: Portable and Persistent Personal Memory through a Unified Human Context Protocol
Help shape our project
Every individual has personal data scattered in many different places, the goal of portable memory is to create a systematic approach so that people can better control the use of their personal data.
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The Human Context Protocol serves as the foundational interoperability layer for this infrastructure, enabling AI systems to exchange user-authorized context while preserving privacy, provenance, and individual control.
Research team
Lucas Novak
Visiting Researcher