In this paper, we present PropGenie, a novel multi-agent framework based on large language models (LLMs) to deliver comprehensive real estate assistance in real-world scenarios. PropGenie coordinates eight specialized sub-agents, each tailored for distinct tasks, including search and recommendation, question answering, financial calculations, and task execution. To enhance response accuracy and reliability, the system integrates diverse knowledge sources and advanced computational tools, leveraging structured, unstructured, and multimodal retrieval-augmented generation techniques. Experiments on real user queries show that PropGenie outperforms both a general-purpose LLM (OpenAI’s o3-mini-high) and a domain-specific chatbot (Realty AI’s Madison) in real estate scenarios. We hope that PropGenie serves as a valuable reference for future research in broader AI-driven applications.