Show HN: IncidentFox – open-source AI SRE with log sampling and RAPTOR retrieval (github.com)

IncidentFox has debuted as an open-source AI Site Reliability Engineer (SRE) designed to streamline incident response and infrastructure automation. By integrating with observability and collaboration tools, IncidentFox automates incident investigation, identifies root causes, and provides actionable recommendations. Its significant feature set includes a robust Alert Correlation Engine that significantly cuts down alert noise by 85-95% through advanced analysis techniques, a dynamic knowledge base that learns from historical incidents, and a Model Context Protocol (MCP) for quick integration with over 178 tools. This innovation is important for the AI/ML community as it leverages AI to address common pain points in incident management such as alert fatigue, context switching, and tool sprawl. The platform's dual-agent runtime supports both production and experimental tasks, and its continuous learning capabilities propose improvements based on team patterns. With easy deployment on Kubernetes and extensive customization options, IncidentFox aims to enhance operational efficiency and minimize downtime, ultimately fostering a more resilient IT environment.