ClawForge introduces a new benchmark framework for evaluating command-line agents in realistic workflows, focusing on how they manage persistent state conflicts. Initial results show that current models struggle significantly, with the best achieving only 45.3% accuracy, highlighting the challenges in developing robust interactive agents.