In a move that could reshape how developers evaluate long-horizon agents, the team behind RealReplicaBench has released a new benchmark focused on high-fidelity, stateful, and reproducible environments. The project is hosted on GitHub and has already garnered over 1,050 stars, indicating significant interest in the AI community. This benchmark allows developers to test their algorithms in a controlled setting that mirrors real-world conditions, providing a vital resource for improving the perfor...