Aurora is an open-source AI SRE agent that investigates production incidents on its own, turning each incoming alert into a structured root cause analysis with evidence and a suggested fix. Alerts arrive from PagerDuty, Datadog, Grafana, New Relic, OpsGenie, incident.io, or CloudWatch, and every one triggers a background investigation without waiting for a human to pick it up. The agents choose from more than thirty tools, run cloud and cluster commands inside sandboxed pods, query logs, compare deployments, and search a knowledge base of past incidents for similar failures. An infrastructure dependency graph shows the blast radius across services and providers. When the root cause is found in code, Aurora can draft the remediation as a pull request instead of stopping at a diagnosis. Finished investigations become postmortems with a timeline, impact assessment, and remediation steps, exportable to Confluence, Notion, or SharePoint, and automated actions can open the fix, notify Slack, or update living documents as new evidence lands. Command policies and guardrails bound what the agents may run, and any major language model provider can power the reasoning, cloud-hosted or local. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.