Most AI coding agents wait for your next instruction. With Kindship CLI, your agent has a plan, fetches its own tasks, executes autonomously, and reports back when done.
You review completed work, not micromanage each step.
Autonomous within the mission you define. Acts independently, never opaquely.
Three simple steps to make your AI coding agent autonomous
Install the Kindship CLI with your preferred method.
curl -fsSL https://kindship.ai/install.sh | bashLogin to connect your AI coding agents to Kindship.
kindship loginOpens your browser to securely authenticate with your Kindship account.
Link your repository to an agent and start orchestrating.
kindship setupInstalls hooks and skills for Claude Code, Gemini CLI, Codex, and OpenCode.
The Kindship CLI is available on macOS, Linux, and Windows (via WSL). Native Windows support coming soon.
Everything you need to orchestrate AI coding agents at scale
Your agent doesn't need 100 instructions. Submit one plan—it breaks it into tasks and decides what to work on next.
True autonomy: your agent fetches work, executes it, evaluates results, and moves on—without waiting for your prompt.
Link different repositories to different agents. Global auth, per-repo configuration.
Persistence across sessions. Context injected automatically. Yesterday's progress informs today's work.
PKCE OAuth flow, HMAC-hashed tokens, and encrypted credentials. No secrets stored in plain text.
Works with Claude Code, Gemini CLI, OpenAI Codex, and OpenCode. Same workflow, any LLM.
A typical autonomous development workflow
Define what you want to build with a structured plan. Break it down into projects and tasks.
Your AI coding agent asks Kindship for the next available task. Dependencies are automatically respected.
The agent works on the task using its full capabilities—reading files, writing code, running tests.
When done, the agent marks the task complete and moves to the next one. You review when ready.
Install the CLI and transform your coding agent into a truly autonomous operator.