jordigilh/kubernaut

A2Acommunity
jordigilhApache-2.0Updated 2mo agoGitHub

Open-source AIOps platform that closes the loop from Kubernetes alert to automated remediation. An AI Agent investigates live via native client-go bindings, logs, and Prometheus, selects a fix from a workflow catalog, and executes it — or escalates with a full RCA. Approval gates, OPA policies, and audit trails keep humans in control.

AIOps Platform for Intelligent Kubernetes Remediation Kubernaut closes the loop from Kubernetes alert to automated remediation. It operates in two modes: autonomously — detecting signals, investigating root causes, and executing fixes end-to-end without human involvement — and interactively — letting operators join an in-progress investigation via MCP or A2A, guide the agent, and approve…

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20GitHub stars
1Forks
2mo agoLast update
Package
Authorjordigilh
LicenseApache-2.0
Sourcegithub
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/30
Publisher: run `forge publish` from the repo to claim ownership
Domain verification+0/10
Not currently available for this listing type — the domain-verification check only runs for npm-backed packages today, so this row cannot be earned here yet regardless of what's hosted at the domain.
Prompt-injection scan · clean+30/30
Obfuscation / exfil scan · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ CleanvHEAD · 2mo ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

AIOps Platform for Intelligent Kubernetes Remediation Kubernaut closes the loop from Kubernetes alert to automated remediation. It operates in two modes: autonomously — detecting signals, investigating root causes, and executing fixes end-to-end without human involvement — and interactively — letting operators join an in-progress investigation via MCP or A2A, guide the agent, and approve remediations in real time. The LLM-powered agent uses native Go client-go bindings against the Kubernetes…

Keywords
a2a-agentadk-googleagentic-workflowaiopsalertmanageraudit-trailautomationgolanggoogleincident-responsekubernetesobservabilityremediationroot-cause-analysisself-healingsre