MedRLs enables long-context clinical reasoning by recursively inspecting patient data across text, images, sensors, and guidelines. It integrates specialized agents and a Clinical Evidence Graph Memory to connect patient observations with evidence, biomarkers, and referral criteria, supporting sensor-triggered reasoning and uncertainty-gated clinician review.