avivl/cloud-sre-agent

An autonomous SRE agent that monitors cloud logs across multiple platforms, leveraging AI models from various providers to detect anomalies, perform root cause analysis, and automate remediation by creating GitHub Pull Requests.

43
/ 100
Emerging

This project helps Site Reliability Engineers (SREs) or operations teams automatically monitor cloud logs from various platforms like AWS, Azure, and Google Cloud. It takes raw log data, analyzes it using multiple AI models to find issues, and then generates code fixes and proposes them as GitHub Pull Requests. This reduces manual effort and speeds up incident resolution.

Use this if you need to automate the detection of cloud operational issues, perform root cause analysis, and generate code-based remediation suggestions, all integrated into your existing Git-based workflows.

Not ideal if your primary need is basic log aggregation and alerting without autonomous analysis, code generation, or automated pull request creation.

Site Reliability Engineering Cloud Operations Incident Management Automated Remediation Log Monitoring
No Package No Dependents
Maintenance 10 / 25
Adoption 7 / 25
Maturity 15 / 25
Community 11 / 25

How are scores calculated?

Stars

35

Forks

4

Language

Python

License

MIT

Last pushed

Feb 20, 2026

Commits (30d)

0

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