The proliferation of Coordinated Inauthentic Behavior (CIB)—specifically the deployment of malicious bot-farms and bot-herds—presents a unique challenge to modern information ecosys- tems. These entities do not merely spread falsehoods; they exploit the cognitive heuristics of human users to manufacture consensus. Traditional defenses against CIB have historically relied on an algorithm-centered paradigm, prioritizing automated detection systems that operate as "black boxes" to classify actors as authentic/ inauthentic. However, this technological determinism faces an inherent "arms race" dilemma: as detection algorithms improve, adversarial actors evolve more sophisticated meth- ods to evade them, creating a perpetual cycle of concealment and detection that often leaves the human user—the ultimate target of influence operations—vulnerable and disempowered. This report proposes "MindWare," a cognitive middleware designed to interrupt the social heuristics exploited by bot networks. MindWare leverages Seamful Design to strategically re- veal the "seams"—the rough edges, inconsistencies, and infrastructural gaps—of digital inter- actions. It operationalizes Social Transparency through a "4W Framework" (Who, What, When, Why) to render the invisible provenance of information visible. By transforming the implicit so- cial signals of CIB (e.g., temporal coordination, network clustering) into explicit visual cues, MindWare acts as a cognitive middleware layer. It disrupts the cognitive heuristics — specifi- cally bandwagon, authority, similarity, and social presence effects—that bot networks exploit to bypass critical thinking. This report details the theoretical underpinnings, system architecture, and evaluation tenets of MindWare, offering a comprehensive blueprint for a resilience-based approach to information integrity.