Microsoft Research Releases AgentRx: Systematic Debugging Framework for AI Agent Failures

Microsoft Research·medium signal

Microsoft Research published AgentRx, a framework for systematic failure analysis in AI agent systems that categorizes agent failures by root cause — tool misuse, context drift, goal misinterpretation, and loop collapse — and provides structured intervention protocols for each failure class. The framework was validated against production agent logs and showed improved resolution rates versus ad-hoc debugging. AgentRx is intended as a complement to agent observability tooling, providing diagnosis logic rather than just telemetry.