The research paper introduces MindSearch, a novel AI system designed to mimic human cognitive processes when seeking and integrating information from the web. It combines the strengths of Large Language Models (LLMs) and search engines by using a multi-agent framework consisting of a WebPlanner and WebSearchers. The WebPlanner breaks down complex user queries into smaller, manageable sub-questions, while WebSearchers retrieve and summarize relevant information from the web. This approach addresses the limitations of traditional search engines and LLMs in dealing with complex, information-rich tasks. MindSearch demonstrates significant improvements in response quality, particularly in depth and breadth, surpassing existing AI search solutions like ChatGPT-Web and Perplexity.ai in subjective human evaluations.