AI, SaaS, Productivity
AI Twin
Remember what matters and find it when it matters with a private, model-agnostic personal memory layer.
About AI Twin
Captures text, PDFs, voice recordings, and emails to build a typed, queryable memory store independent of any single language model. Information gets structured into discrete categories such as people, facts, and events with row-level isolation and detailed audit logging. Users can connect external AI assistants through standard protocol connectors to retrieve precise facts, timeline details, and policy cards while keeping their underlying data fully sovereign.
Who is AI Twin for?
Designed for professionals and practice owners who used to leave important context trapped inside individual chat platforms or scattered across local folders. It serves users who want to switch AI models freely without losing their accumulated knowledge base or giving up ownership of their sensitive documents.
How does AI Twin work?
Submit documents, emails, or voice clips using the unified input bar. Review the suggested memory categories and facts, then confirm what gets added to your database. Connect your preferred AI assistant using an MCP connector to query your structured memories directly from your regular workspace.