Assembly Line

Aurora

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 and More. Apache 2.0.

Aurora is an open-source incident management project on GitHub under the Apache-2.0 license (permissive), with 451 stars. It is built with CPython and TypeScript. Its last push was today.

Stars
451
License
Apache-2.0
Activity
Active
Latest release
v1.5.14

Code on GitHub Website

Judgement

What it is
Complete system
What it does
An AI incident investigation tool where LangGraph agents query AWS, Azure, GCP, Kubernetes and monitoring tools to suggest root causes, integrated with PagerDuty, Datadog and Slack.
Adopt it when
An SRE team wants to trial self-hosted AI root-cause analysis across clouds.
Watch out
Created in 2026, and agents need broad read access to your cloud accounts.
Ready for
Experimental
Runs as
Self-hosted server
Built with
Python, TypeScript and LangGraph
How established
Young: started 9 months ago, latest release v1.5.14.
What the license allows
You can build it into a product you sell, as long as you keep its copyright notice.

Judged on 2026-11-03 from the project's README and GitHub data. The license and age lines are worked out directly.

Compare Aurora

Built from

Follow it down: Aurora → CPython → GCC → LLVM project → runs on a microchip

How compilers were built, back to punched paper tape

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Stars, license and activity come from GitHub and refresh on a rolling hourly schedule. The project's own description is quoted as written.