AgentDebugX is an open‑source framework that transforms LLM agent debugging into a closed loop of Detect, Attribute, Recover, and Rerun. It introduces DeepDebug, a multi‑turn root‑cause diagnosis engine that analyzes global execution trajectories to locate failure origins. The toolkit extends existing replay tools by adding systematic attribution and recovery strategies for LLM agents.