Anamnesis: How a Physician Built Cognitive Memory Into Autonomous AI

Most autonomous AI agents reset their memory each session, perpetually solving problems they've already solved. Anamnesis applies clinical memory principles to fix this, storing judgment alongside facts—including reasoning, trust weights, and decay conditions that determine when knowledge expires. For enterprises running autonomous AI fleets, this difference is transformative: agents that learn from experience become exponentially more valuable than stateless systems.