Terminal-native AI peer

Kin documentation

A short path from installation to a first useful session, with clear links into Kin's complete maintained manual.

Available now
01

Install

The supported installer works on macOS and Linux and can be run again safely.

bash <(curl -fsSL https://get.kinra.ai/install.sh)
kin doctor
02

Connect a model

Run Kin, open the provider flow, and connect an OpenAI-compatible or Anthropic model route. The in-app flow keeps credentials out of project files.

  • Start `kin` in a project directory.
  • Open `/providers` and choose a provider.
  • Verify the route before beginning work.
03

Begin with real work

A concrete task creates better calibration than a tour of features.

  • Name the outcome and the constraints that matter.
  • Let Kin inspect before prescribing a solution.
  • Review the first shape and respond with specific judgment.
cd your-project
kin
04

Authority and verification

Kin exposes modes and permission gates so action stays proportional to risk.

  • Use strict mode when you want each material action reviewed.
  • Use auto mode for bounded local work with explicit escalation at protected boundaries.
  • Read diffs and retain independent checks for consequential changes.