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Heterogeneous networks have complex structures and large multiple coverage areas, making network intrusion detection more covert and posing a threat to network security operation. Therefore, a heterogeneous network multi coverage node intrusion detection system based on Agent artificial intelligence is designed. By detecting agents and installing host agents through communication agents, Cisco Stealthwatch traffic sensors are used as heterogeneous network sensors to detect attack behavior. STM32L151RDT6 64 bit microcontroller is used to transmit batch data, and MAX3232 chip is used to achieve system level conversion, achieving hardware system design. The software part designs intrusion detection standards, utilizes sensor devices to capture real-time network data, analyzes heterogeneous network protocols through Agent technology, extracts data operation characteristics, and comprehensively considers protocol parsing results and matching with detection standards to achieve multiple coverage node intrusion detection in heterogeneous networks. Through system testing, it is concluded that the average missed detection rate and false detection rate of intrusion types in the designed heterogeneous network multi coverage node intrusion detection system based on Agent artificial intelligence are only 6% and 5%, which can effectively improve detection accuracy and reduce detection errors.