The paper introduces ACLArena, a framework for comprehensively studying, analyzing, and evaluating Agent Continual Learning (ACL) in multi-stage post‑training. It constructs a sequential training pipeline to integrate multiple capabilities acquired at distinct training stages. The work aims to assess the trade‑offs among existing ACL integration paradigms.