Algorithm complexity involves analyzing the performance of algorithms in terms of time and space requirements based on input size. It includes space complexity, which measures memory usage, and time complexity, which assesses execution time. Understanding these complexities helps optimize programming efficiency and resource management in data structures and algorithms.