The agile requirements process model is suitable for scenarios with frequent requirements iterations. This approach emphasizes a user-centered design concept, using concise text and not relying on complex processes and tools. Introducing requirement models into the agile process can effectively address issues such as the insufficient understanding of agile methods. However, in scenarios with frequent requirement iterations, the introduced requirement models often face challenges such as difficulty in maintenance and outdated versions. In agile development with frequent requirements iterations, the model’s complexity results in high resource consumption for its manual maintenance of the requirement model. To address this issue, this study proposes an agile requirements process model based on multi-agent systems, MA-ARP. This model uses an automatic processing system built around multi-agent technology, leveraging the reasoning and recognition capabilities of multi-agents to dynamically update the requirement model according to changes in requirements. This approach effectively reduces the costs associated with maintaining the requirement model during the agile process. Case studies and comprehensive evaluations show that this approach can achieve automatic updates and maintenance of the requirement model, and the proposed model meets or exceeds level 2 in most of the selected requirements engineering process evaluation metrics.