Semloop is a semantic loop detection tool for AI agent traces that uses an LLM judge to identify whether agents are making progress, improving upon deepeval's lexical similarity approach. It supports multiple backends including TypeSafe's Jev model and OpenAI-compatible APIs, achieving 90% accuracy on a benchmark dataset compared to 40% for the lexical baseline.