AI Agents Can Remember Rules, and Still Break Them After Compression

Recent studies reveal that AI chat agents using context compaction—a method to summarize and condense conversation history—can lose critical rules during this process, leading to rule violations. Research shows rule-breaking rates rising significantly post-compaction across multiple models, highlighting risks in AI memory management.