Show HN: RunbookAI – Hypothesis-driven incident investigation agent(open source) (userunbook.ai)

RunbookAI, an open-source incident investigation tool, has been introduced to streamline the process of diagnosing issues within cloud infrastructures. Tailored for environments running on AWS, Kubernetes, and CloudWatch, the platform automatically generates hypotheses regarding incidents, gathers evidence, and identifies root causes. It facilitates a step-by-step investigation process with built-in approval gates to ensure operational integrity. By enabling natural language queries, RunbookAI allows users to interact with their systems more intuitively, while automatically indexing relevant runbooks, postmortems, and architectural documents for easy access. This tool is significant for the AI/ML community as it enhances incident response efficiency and accountability, making it easier for teams to manage and learn from outages. With features like auto-injection of contextual materials into Claude Code sessions and seamless integration with platforms like Slack, PagerDuty, and OpsGenie, it positions itself as a valuable asset in the DevOps workflow. The emphasis on a full audit trail and confidence scoring for root cause identification marks a shift towards a more data-driven approach in incident management, ultimately reducing downtime and improving system reliability.