A real conversation with a RAGMI-equipped agent. The questions asked here — and the answers given — are only possible when your agent truly knows you.
A lifetime of media and events on a multi-track timeline — each moment stored, weighted, and ready for retrieval.
RAGMI embeds human weighting before the AI ever sees the data — so the agent always knows what matters most.
"Which one am I?" — a question only answerable by an agent that knows your life. No prompt engineering required.
The user asked their OpenClaw agent to find a school photo with a specific person, identify who they are in it, and recall the teacher's name. The agent answered all three correctly.
This is only possible because the agent had access to a RAGMI Human Context Protocol export — a structured, significance-weighted layer built from the user's own folio. No manual prompting. No re-briefing. Just memory.