This project is archived and no longer maintained. These docs stay available as a reference. The code stays available under its original license.

What I build now:

  • Kubmin — per-workload cost, efficiency, and SCI/SEI intelligence for Kubernetes
  • infai — a terminal control plane for local LLM inference: one profile shape for llama.cpp and vLLM, many models at once, live tokens/sec plus CPU/RAM/VRAM telemetry, hardware fit checks before launch
  • infaiw — a daemon-based agent harness: sessions keep running after you close the terminal, sidecar loops must pass an acceptance check before reporting back, every event lands on a durable branchable timeline, and approvals wait for you

Want to take over maintenance of kli? If you still depend on it and would like to become the maintainer, reach out on Discord or open an issue.

Features

Features of kli

Our Vision

Transform your Kubernetes experience with a tool that puts simplicity and efficiency first. kli eliminates the complexity of cluster management, allowing developers to focus on what matters most – building great applications.

Key Features

🌐 Universal Cloud Support

  • Deploy clusters across any cloud provider
  • Seamless switching between providers
  • Support for both managed and self-managed clusters
  • Freedom to choose your bootstrap provider (K3s or Kubeadm)

🚀 Zero-to-Cluster Simplicity

  • Single command cluster deployment
  • No complex configuration required
  • Automated setup and initialization
  • Instant development environment readiness
  • Local file-based or MongoDB storage options
  • Single binary deployment thus light-weight and efficient

🛠️ Streamlined Management

  • Unified interface for all operations
  • Eliminates need for provider-specific CLIs
  • Consistent experience across environments
  • Simplified scaling and upgrades

🌱 Smart Cost & Emission Optimization

  • Dynamic Region Switching for optimal cost efficiency
  • Smart Region Selection based on emission metrics
  • Intelligent Instance Type Selection balancing cost and sustainability
  • Automatic ranking of regions based on carbon intensity metrics
  • Eco-friendly operations with focus on renewable energy usage
  • No sacrifice of performance or reliability For Details

🎯 Developer-Focused Design

  • Near-zero learning curve
  • Intuitive command structure
  • No new configurations to learn
  • Perfect for teams of all skill levels
  • We have WASM workload support as well Refer

🔄 Flexible Operation

  • Self-managed cluster support
  • Cloud provider managed offerings
  • Multiple bootstrap provider options
  • Seamless environment transitions

Technical Benefits

  • Infrastructure Agnostic: Deploy anywhere, manage consistently
  • Rapid Deployment: Bypass complex setup steps and day 0 tasks
  • Future-Ready: Upcoming support for day 1 operations and Wasm
  • Community-Driven: Active development and continuous improvements
  • Sustainability-Focused: Optimized for both cost efficiency and environmental impact

Last modified February 3, 2026: updated the docs (3776d04)