Dialectical Frameworks [1] (ADF) are a generalisation of Dung's Argumentation frameworks [2]. Multiple approaches for reasoning under various semantics have been proposed over the last decade [3,4,5,6]. We present "Abstract Dialectical Frameworks solved by Binary Decision Diagrams, developed in Dresden" (ADF-BDD) 2 , a novel approach that relies on the translation of the acceptance conditions of a given ADF into reduced ordered binary decision diagrams (roBDD) [7]. Our system is based on the consideration that many otherwise hard to decide problems in ADF semantics (e. g., answering SAT-questions) can be solved in polynomial time on roBDDs (see [8] for an in-depth analysis). Our novel approach differs to the currently used systems, like the SAT-based approach K++ADF [5] or the wide spectrum of answer set programming (ASP) focused approaches like the DIAMOND family (e. g., DIAMOND [3] or GODIA-MOND [4]) and YADF [6]. ADF-BDD is written in RUST [9] to provide good performance while enforcing a high amount of memory-and type-safety. In addition the rust-compiler produces highly optimised machine code, while keeping the whole tech stack simple.ADF-BDD accepts the established input format, introduced first in [10]. There statements are unary predicates s, defining the labels and the acceptance conditions are binary predicates ac, relating the label to a formula. It allows to enumerate the grounded and complete interpretations, and stable models of the given input instance. The set of statements is the shared signature of all acceptance conditions, hence our implementation uses a single structure to store the nodes of all the roBDDs, which represent each acceptance condition. This allows for efficient caching of nodes and to eliminate duplicate node candidates. Another side-effect is that shared sub-BDDs are computed only once. ADF-BDD provides the explained implementation of roBDDs as the representation of the acceptance conditions. As the instantiation of roBDDs is a computational hard task, it is possible to utilise another state-of-the art competitive library called Biodivine/LibBDD 3 .