Tracer-Cloud/opensre

OpenSRE addresses the lack of scalable training data and clear feedback loops for AI agents in production incident response, which is slower, noisier, and harder to simulate than code tasks. It provides a structured environment with scored synthetic RCA suites and real-world tests to train and evaluate AI SRE agents effectively.

Developers can build AI SRE agents that autonomously investigate and resolve production incidents by connecting to 60+ tools (logs, metrics, traces, runbooks, Slack). Real-world use cases include automated root cause analysis, incident response, and remediation across Kubernetes, EC2, CloudWatch, Lambda, ECS Fargate, and Flink. The framework supports custom workflows and adversarial testing, enabling agents to handle complex, distributed failures.