Robust and adaptive AI agents are the capability to function reliably in diverse and dynamic environments. The design of these agents necessitates a multi-faceted approach that considers aspects such as fault tolerance, learnability, and resiliency. To ensure robustness, agents should be designed with mechanisms to mitigate unexpected occurrences.