The Co-ReAct framework enhances ReAct-style agents by integrating rubrics as step-level guidance for decision-making, improving the quality of evidence seeking and reasoning. This innovation shows consistent performance improvements across various models, making it a valuable tool for enhancing AI agent capabilities in complex tasks.