OmniThink is an innovative machine writing framework that aims to improve the knowledge density of generated articles by simulating human iterative expansion and reflection processes. It measures the uniqueness and depth of content through knowledge density indicators and organizes knowledge using structured information trees and concept pools to produce high-quality long-form texts. The core advantage of this technology lies in its ability to effectively reduce redundant information while enhancing content depth and novelty, making it suitable for scenarios that require high-quality long-form text generation.