This project is archived and no longer maintained.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.

Getting Started

What does your user need to know to try your project?
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Getting Started Documentation

Installation & Uninstallation Instructions

kli

Lets begin with installation of the tools their are various method

Single command method

curl -sfL https://get.kli.ksctl.com | python3 -


bash <(curl -s https://raw.githubusercontent.com/ksctl/kli/main/scripts/uninstall.sh)

zsh <(curl -s https://raw.githubusercontent.com/ksctl/kli/main/scripts/uninstall.sh)

From Source Code

make install_linux

# macOS on M1
make install_macos

# macOS on INTEL
make install_macos_intel

# For uninstalling
make uninstall

Configure Ksctl CLI

kli configure cloud # To configure cloud
kli configure storage # To configure storage

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