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Moonshot AI Releases Kimi Code CLI: A Terminal AI Coding Agent Built in TypeScript for Next-Gen Agents

Moonshot AI has launched Kimi Code CLI, an open-source terminal AI coding agent built with TypeScript. It features subagents for parallel tasks, MCP configuration, video input, and lifecycle hooks. The tool is MIT-licensed and supports Kimi models or other providers.

SourceMarkTechPostAuthor: Michal Sutter

Moonshot AI has released Kimi Code CLI, an open-source coding agent that runs in the terminal. The tool reads and edits code, runs shell commands, searches files, and fetches web pages. It then chooses its next step based on the feedback it receives. The project is MIT-licensed and lives on GitHub..

Kimi Code CLI is the successor to the older kimi-cli. The new agent is written in TypeScript and distributed via npm. It works out of the box with Moonshot AI’s Kimi models. It can also be configured to use other compatible providers.

What is Kimi Code CLI

Kimi Code CLI is an AI agent for software development and terminal operations. It can implement new features, fix bugs, and complete refactors. It can also explore an unfamiliar codebase and answer architecture questions. Batch file processing, builds, and chained test runs are supported too.

The execution model is feedback-driven. The agent plans steps, modifies code, runs tests, and reports its actions. Read-only operations run automatically by default. For file edits or shell commands, the agent asks for confirmation first. This approval flow keeps risky actions under developer control.

The CLI itself is free and MIT-licensed. Model access requires Kimi Code OAuth or a Moonshot AI Open Platform API key.

https://github.com/MoonshotAI/kimi-code

Key Features

Moonshot lists several features aimed at long, focused agent sessions:

Single-binary distribution. One command installs it, with no Node.js setup required.

Fast startup. Moonshot says the TUI is ready in milliseconds.

Purpose-built TUI. The interface is tuned for extended agent sessions.

Video input. Drop a screen recording or demo clip into the chat.

AI-native MCP configuration. Add and authenticate Model Context Protocol servers via /mcp-config.

Subagents for parallel work. Dispatch built-in coder, explore, and plan subagents in isolated contexts.

Lifecycle hooks. Run local commands to gate tool calls, audit decisions, or trigger notifications.

Installation and First Run

Two installation paths exist. The official script needs no pre-installed Node.js.

On macOS or Linux, run the install script:

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

On Windows, use PowerShell:

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

The global npm install requires Node.js 24.15.0 or later:

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npm install -g @moonshot-ai/kimi-code

Verify the binary, then open a project and start the interactive UI:

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kimi --version cd your-project kimi

On first launch, type /login inside the UI. You can choose Kimi Code OAuth or a Moonshot AI Open Platform API key. To run one instruction without the UI, use kimi -p "your task". To resume the previous session, add -C.

Use Cases

Understanding a project: Ask for an architecture overview and a module dependency diagram.

Implementing a feature: Describe the signature, options, and acceptance criteria up front.

Fixing a bug: Give the symptom, reproduction steps, and expected behavior together.

Writing tests and refactoring: Extract repeated patterns, then run tests to confirm behavior.

One-off automation: Analyze logs and output call counts with p50 and p99 latencies.

Scheduled tasks: Ask the agent to set reminders or recurring checks via cron.

Plan mode is available through Shift-Tab or kimi --plan. It outputs a research plan before touching files. For safe batch work, --yolo or /yolo skips approval prompts. The /fork command creates an experimental branch you can abandon. The /compact command compresses context to free up tokens. For large investigations, the main agent can dispatch subagents in parallel.

How Kimi Code CLI Compares

Kimi Code CLI joins several established terminal coding agents. The table below compares it with three of them. Competitor details reflect mid-2026 and can change quickly.

AttributeKimi Code CLIClaude CodeOpenAI Codex CLIGemini CLI

DeveloperMoonshot AIAnthropicOpenAIGoogle

Backing modelKimi modelsClaude modelsGPT-5.3-CodexGemini 2.5 Pro

Language / runtimeTypeScriptNode.jsRustTypeScript

InstallScript or npm (Node.js ≥ 24.15.0)Native installer or npmnpm / nativenpm single binary

MCP supportYes (/mcp-config)YesYesYes

SubagentsYes (coder, explore, plan)YesYesNo (sequential)

Plan modeYes (Shift-Tab)YesYesYes

IDE integrationACP (Zed, JetBrains)VS Code, JetBrainsVS Code, IDEsVS Code (Code Assist)

LicenseMITProprietaryOpen sourceApache 2.0

All four agents support the Model Context Protocol. They differ on backing model, language, license, and orchestration. Kimi Code CLI and Codex CLI both ship native subagents. Gemini CLI runs tasks sequentially without subagent support.

Key Takeaways

Kimi Code CLI is an MIT-licensed terminal coding agent from Moonshot AI.

It is written in TypeScript and installs via script or npm.

Built-in coder, explore, and plan subagents run in isolated contexts.

MCP servers are configured conversationally through /mcp-config, not raw JSON.

It succeeds kimi-cli and migrates existing configuration and sessions.

Marktechpost’s Visual Explainer

Kimi Code CLI · Guide 01 / 09

Overview

Kimi Code CLI

Moonshot AI’s open-source terminal coding agent that reads code, runs commands, and plans its next step.

Runs in your terminal as an AI coding agent

MIT-licensed · written in TypeScript · distributed via npm

Works with Kimi models or other compatible providers

Slide 02

What Is Kimi Code CLI?

Reads and edits code, runs shell commands, searches files

Fetches web pages and chooses the next step from feedback

Read-only actions run automatically by default

File edits and shell commands ask for confirmation first

Slide 03

Key Features

Single-binary distribution — no Node.js setup required

Built-in coder, explore, and plan subagents

AI-native MCP configuration via /mcp-config

Lifecycle hooks and video input support

Slide 04

Install

macOS / Linux

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

Windows (PowerShell)

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

npm (Node.js 24.15.0+)

npm install -g @moonshot-ai/kimi-code

Slide 05

First Run

kimi --version cd your-project kimi

Type /login → Kimi Code OAuth or Moonshot API key

kimi -p "your task" runs one instruction without the UI

kimi -C resumes the previous session

Slide 06

Use Cases

Understand a project: architecture overview and dependency map

Implement features with clear signatures and acceptance criteria

Fix bugs from symptom, reproduction steps, and expected behavior

Write tests, refactor, and automate log analysis or batch edits

Slide 07

Modes & Commands

Plan mode: Shift-Tab or kimi --plan

--yolo or /yolo skips approvals for safe batch work

/fork creates an experimental branch you can abandon

/compact compresses context to free up tokens

Slide 08

How It Compares

AttributeKimi Code CLIClaude CodeCodex CLIGemini CLI

ModelKimi modelsClaude modelsGPT-5.3-CodexGemini 2.5 Pro

LanguageTypeScriptNode.jsRustTypeScript

SubagentsYesYesYesNo

LicenseMITProprietaryOpen sourceApache 2.0

Slide 09

Key Takeaways

MIT-licensed terminal coding agent from Moonshot AI

Written in TypeScript; installs via script or npm

coder, explore, plan subagents in isolated contexts

MCP configured conversationally, not raw JSON

Succeeds kimi-cli; migrates config and sessions

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