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* feat(web): render AskUserQuestion result as an option list
Parse the AskUserQuestion tool result and echo the full option list, highlighting the chosen option(s) and dimming the rest, instead of dumping raw JSON. Handles single/multi select, free-text Other answers, and the dismissed state. Answers are zipped back to the input questions by index since the input carries no ids.
* fix(web): drop the stray indent in the tool-call card body
The expanded body of every tool-call card carried a hard-coded 36px left indent (a magic number meant to align with the header name). Drop it so expanded content aligns with the header's 11px padding instead. The design-system preview page mirrored the same rule and is updated to match.
* fix(web): align markdown diff block with the design system
Restyle the local ```diff renderer in chat Markdown to match the ~/diff panel: code text keeps the normal ink colour, the +/- sign carries the add/del colour, and rows use a soft background with an inset accent bar instead of dyeing the text green/red. The header and copy button now match the standard code-block chrome (height, hover, focus ring).
* fix(web): match the markdown diff block chrome to code blocks
Make the local markdown diff renderer's shell identical to a regular code block: swap the text copy button for the same icon button, inherit the header's text-xs sizing, and keep the container / header / code-area padding, background, radius and shadow in lockstep with .code-block-container and .code-block-header. The diff-specific row tinting (soft background, inset accent bar, coloured sign) is kept since that is what makes it a diff.
* fix(web): fall back to raw output for non-answer AskUserQuestion results
Background launches and error cases return plain-text tool output (task_id/status lines, or a failure reason), not the { answers } JSON the card expects. The card used to render an empty, fully-unselected option list in those cases, hiding the task id or error. Now the card only renders the option list when the output parses as the answer payload; otherwise it shows the raw output. Addresses review feedback (P2).
* fix(web): localize AskUserQuestion result labels
The card hard-coded user-visible strings (Dismissed, answer/answers, Answered, the (+N more) summary), so Chinese-locale transcripts mixed in English. Move them into the en/zh tools locale files and read them via t(). Addresses review feedback (P2).
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Kimi Code CLI
Documentation · Issues · 中文
What is Kimi Code CLI
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
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_PATHto the absolute path ofbash.exe.
Then, run it with a new shell session:
kimi --version
For npm install, upgrade, uninstall, see Getting Started.
Quick Start
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.
Key Features
- 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, andplansubagents 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.
Use it in your editor (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.
Docs
- Getting Started
- Interaction and approvals
- Sessions
- Using in IDEs (ACP)
- Configuration
- Command reference
Develop
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.
Community
- Issues
- For security vulnerabilities, see SECURITY.md.
Acknowledgements
Our TUI is built on top of pi-tui. We thank the authors of pi-tui for their valuable work.
License
Released under the MIT License.
