OpenRCA

OpenRCA is an AI agent designed to investigate software failures. It leverages large language models to identify the root cause of these failures. The agent's development is based on research presented at ICLR'25, exploring the capability of LLMs in root-cause analysis. Software engineers and developers working on complex systems could find OpenRCA useful for debugging and troubleshooting. It aims to automate and potentially accelerate the process of identifying the underlying issues leading to software malfunctions.

OpenRCA addresses the challenge of manually diagnosing software failures, which can be time-consuming and require significant expertise. By automating the root-cause analysis process, it allows developers to quickly pinpoint the source of problems and resolve them more efficiently.