AIops-tools/Container-Host-AIops
by Various
Governed AI-ops for Docker + Portainer container hosts — restart-loop/resource/bloat RCA, guarded writes, with audit/budget/undo (preview)
MCP
AIops-tools/Container-Host-AIops
Added 18 Oct 2026
Overview
A Python-based tool for governed AI-ops on Docker and Portainer container hosts. It performs root cause analysis for restart loops, resource pressure, and container bloat, then offers guarded remediation with audit trails, budget controls, and undo capability. Currently in preview.
Best for
Best for
Developers managing Docker hosts who want safer, auditable AI-assisted operations
Use cases
- Diagnose restart-looping containers
- Identify resource pressure or bloat on container hosts
- Apply guarded remediation with audit and rollback
Notes
0 stars on GitHub. Last updated 2026-10-15. Licensed MIT.
Pros
- Includes safety mechanisms like guarded writes and undo
- Provides audit and budget controls for operations
- Focused on common container host failure modes
Cons
- Preview stage with no stable release
- No community traction yet (0 stars)
- Limited to Docker and Portainer environments
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