In this talk, we present our ongoing work on replicated protocol data types (PRDTs) [ 1]. PRDTs explore how we can model distributed protocols (such as consensus protocols) with replicated data types (RDTs) by treating the state of the data type as a store for local knowledge. By following this principle, merging multiple RDT states can be seen as advancing the state of knowledge, thereby potentially enabling the next phase of the protocol. PRDTs differ from traditional RDTs because they showcase how we can not only replicate data, but instead use replicated state to model complex multistep computations/protocols performed by multiple parties.