MARC v1: An Open-Source Multi-Agent Framework for Clinical AI Reasoning and Coordination
Breaking down medical AI decisions into traceable, explainable steps
Researchers built MARC, an open-source system that replaces single black-box AI prompts with teams of specialized agents working together on clinical reasoning tasks. Each agent handles one part of the problem—extracting information, reasoning through it, generating answers, and checking the work—creating a transparent chain where doctors can see exactly where and why the AI reached its conclusion.
Hospitals and clinics need to trust AI recommendations before using them in patient care. MARC's step-by-step approach lets doctors pinpoint which agent made an error, rather than staring at an unexplainable final answer. The system also works on regular computers without expensive cloud APIs, and can be configured by clinical staff through simple text files—no programming required—making AI reasoning tools actually usable in real medical settings.