Show HN: Prxhub – open registry so AI agents stop re-running the same research (prxhub.com)

Prxhub has launched an open registry designed to streamline AI research by enabling users to avoid redundant queries by leveraging existing knowledge. This platform allows researchers and AI agents to access a verifiable, signed, and searchable database of previously answered questions before conducting their own searches. With no need for account registration, users can freely read and contribute to the repository, helping to create a more efficient research ecosystem. The system promotes collaborative work by allowing researchers to inherit prior findings, extend them, and publish their own contributions back to the community. This initiative is significant for the AI/ML community, as it addresses the inefficiencies of AI systems that typically start from scratch, leading to duplicated efforts and increased resource consumption. The introduction of .prx bundles, which encapsulate a complete research run, allows for easy citation and sharing of research artifacts with full provenance. By integrating with AI models and providers, prxhub fosters an environment where knowledge can be built upon systematically, ensuring that researchers can focus on extending existing work rather than reinventing the wheel. This open-source approach not only enhances collaboration but also empowers AI agents to contribute effectively to the knowledge base.