Arvo-AI/aurora — Aurora — Open source AI-powered agentic incident management & root cause analysis for SREs.

Description and use

Aurora is an open‑source, AI‑driven incident‑management platform that equips SRE teams with autonomous agents capable of investigating and diagnosing failures across multi‑cloud environments (AWS, Azure, GCP) and Kubernetes clusters. Leveraging LangGraph, the agents pull data from PagerDuty, Datadog, Grafana, Slack and other sources to perform root‑cause analysis and orchestrate remediation workflows. The project is released under the Apache 2.0 license and fits within the orchestration, AI/ML, and data domains.

Problem

Arvo-AI/aurora helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

Aurora — Open source AI-powered agentic incident management & root cause analysis for SREs. LangGraph agents investigate across AWS, Azure, GCP, Kubernetes. Integrates with PagerDuty, Datadog, Grafana, Slack. Apache 2.0.

Source