City Scavengers proposes an Antetic AI ecosystem for proactive urban cleaning and maintenance, overcoming limitations of traditional methods through continuous, adaptive, and intelligent services. It comprises AI Ants (robotic agents with sensors, actuators, and behavioral rules), the Urban Environment (charging infrastructure, waste disposal, environmental sensors, a pheromone layer, and AR guidance), Anthill OS (orchestration engine for agent management, communication, data fusion, task allocation, and emergency coordination), and a Human Oversight System (monitoring dashboard, remote control, task prioritization, and data analysis). It operates through proactive exploration, stigmergic communication, dynamic task allocation, collaborative problem-solving, adaptive learning, and continuous monitoring. The benefits include improved cleanliness, reduced maintenance costs, increased efficiency, enhanced sustainability, and data-driven decision-making. Challenges include robustness, sensor accuracy, data security, ethical considerations, scalability, AI explainability, and integration with smart city initiatives.