Introducing a Framework to Enable Anonymous Secure Multi-Party Computation in Practice (Extended Version)

This project represents an academic contribution to the field of Privacy-Enhancing Technologies (PETs). Despite being nearly 4.5 years old (1624 days), it has failed to garner any open-source traction, indicated by its 0 stars and minimal fork count. The defensibility is low because, while the underlying cryptography is complex, there is no software ecosystem, community, or 'data gravity' associated with it; it is effectively 'paper-ware.' Frontier labs are unlikely to build this directly, as anonymous participation often conflicts with their requirements for user attribution and abuse prevention (KYC/billing), though they utilize standard SMPC for data privacy. Competitive frameworks like MP-SPDZ, PySyft (OpenMined), or Microsoft's SEAL offer more robust, implementation-ready libraries for SMPC. The primary value of this work is its conceptual approach to session persistence in anonymous environments, but it lacks the developer adoption to be considered a viable tool in the current market.