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Kimi Code CLI is an AI coding agent that runs in your terminal — it can read and edit code, run shell commands, search files, fetch web pages, and choose the next step based on the feedback it receives. It works out of the box with Moonshot AI’s Kimi models and can also be configured to use other compatible providers.

Install with the official script. No Node.js required.

• macOS or Linux:

curl -fsSL https://code.kimi.com/kimi-code/install.sh | bash

• Homebrew (macOS/Linux):

brew install kimi-code

• Windows (PowerShell):

irm https://code.kimi.com/kimi-code/install.ps1 | iex

On Windows, install Git for Windows before first launch because Kimi Code CLI uses the bundled Git Bash as its shell environment. If Git Bash is installed in a custom location, set KIMI_SHELL_PATH to the absolute path of bash.exe.

Then, run it with a new shell session:

kimi --version

For npm install, upgrade, uninstall, see Getting Started.

Open a project and start the interactive UI:

cd your-project
kimi

On first launch, run /login inside Kimi Code CLI and choose either Kimi Code OAuth or a Moonshot AI Open Platform API key. After login, try your first task:

Take a look at this project and explain its main directories.

• Single-binary distribution. Install with one command: no Node.js setup, PATH gymnastics, or global module conflicts.
• Blazing-fast startup. The TUI is ready in milliseconds, so starting a session never feels heavy.
• Purpose-built TUI. A carefully tuned interface, optimized end to end for long, focused agent sessions.
• Video input. Drop a screen recording or demo clip into the chat and let the agent watch what is hard to describe in words — turn a reference clip into a LUT, a long video into a short, a screen recording into working code, and more.
• AI-native MCP configuration. Add, edit, and authenticate Model Context Protocol servers conversationally with /mcp-config, without hand-editing JSON.
• Rich plugin ecosystem. Install skills, MCP servers, and data sources from the marketplace or any GitHub repo, with each install's trust level surfaced up front.
• Subagents for focused, parallel work. Dispatch built-in coder, explore, and plan subagents in isolated contexts while keeping the main conversation clean.
• Lifecycle hooks. Run local commands at key points to gate risky tool calls, audit decisions, trigger desktop notifications, or connect to your own automation.
• Editor & IDE integration (ACP). Drive a Kimi Code CLI session straight from Zed, JetBrains, or any Agent Client Protocol client with kimi acp.

Kimi Code CLI speaks the Agent Client Protocol, so ACP-compatible editors and IDEs (Zed, JetBrains, …) can drive a session over stdio. Log in once, then point your editor at the kimi acp subcommand — no extra login needed.

For Zed, add this to ~/.config/zed/settings.json:

{
  "agent_servers": {
    "Kimi Code CLI": {
      "type": "custom",
      "command": "kimi",
      "args": ["acp"],
      "env": {}
    }
  }
}

Then open a new conversation in Zed's Agent panel. See Using in IDEs for JetBrains setup and troubleshooting, and the kimi acp reference for the full capability matrix.

• Getting Started
• Interaction and approvals
• Sessions
• Using in IDEs (ACP)
• Configuration
• Command reference

Requirements: Node.js ≥ 24.15.0, pnpm 10.33.0.

git clone https://github.com/MoonshotAI/kimi-code.git
cd kimi-code
pnpm install

pnpm dev:cli    # run the CLI in dev mode
pnpm test       # run tests
pnpm typecheck  # TypeScript check
pnpm lint       # oxlint
pnpm build      # build all packages

See CONTRIBUTING.md for the full contribution guide.

• Issues
• For security vulnerabilities, see SECURITY.md.

Our TUI is built on top of pi-tui. We thank the authors of pi-tui for their valuable work.

Released under the MIT License.