* fix(tui): complete @ file mentions across additional workspace roots with fd When additional workspace directories are added via /add-dir, @ file completion fell back to a readdir-based scanner capped at 2000 entries, so deeply nested files in large projects never appeared. Route @ completion through fd across every root instead, keeping the query pushed down to fd and deduplicating by absolute path. The readdir fallback remains for when fd is unavailable. * fix(tui): preserve per-root full-path fallback for @ mentions Address review feedback: decide the scoped-versus-full-path fallback per root instead of globally. When one root has the scoped directory but another does not, the latter still runs a whole-tree --full-path search with the original query, so a match that only exists under that root is not hidden just because a sibling root happens to contain the prefix directory. * fix(tui): fall back to filesystem when fd binary is not executable Address review: when fdPath is non-null but the binary cannot be spawned (managed fd removed or lost execute permission), @ completion returned null because pi-tui swallows the spawn error into an empty result, so the catch never ran. Probe fd with accessSync(X_OK) before delegating and use the filesystem fallback when it is not executable, while still returning null for genuine no-match results. * fix(tui): trust bare fd command names when probing executability Address review: when fd is discovered on the system PATH, detectSystemFdPath returns the bare name (fd/fdfind). accessSync checked that literal string relative to cwd and never searched PATH, so a valid system fd was treated as unavailable and @ completion fell back to the capped scanner. Trust bare names (spawn resolves them via PATH) and only probe absolute/relative paths, which is how the managed fd is referenced and which can go stale. * chore: remove accidentally committed plan files * test(pi-tui): stabilize paste-burst test by freezing the clock The paste-burst heuristic uses an 8ms inter-character interval that a slow or busy CI runner can exceed between synchronous handleInput calls, which resets the burst and lets Enter submit. Freeze Date so the synchronous keystrokes always register as one burst, making the assertion deterministic. * chore: ignore top-level plan directory |
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| .agents/skills | ||
| .changeset | ||
| .github | ||
| apps | ||
| build | ||
| docs | ||
| packages | ||
| plugins | ||
| scripts | ||
| .editorconfig | ||
| .gitattributes | ||
| .gitignore | ||
| .npmrc | ||
| .nvmrc | ||
| .oxfmtrc.json | ||
| .oxlintrc.json | ||
| AGENTS.md | ||
| composer-toolbar-designs.html | ||
| CONTRIBUTING.md | ||
| flake.lock | ||
| flake.nix | ||
| HANDOVER-kimi-web-table-width.md | ||
| LICENSE | ||
| Makefile | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| README.md | ||
| README.zh-CN.md | ||
| SECURITY.md | ||
| tsconfig.json | ||
| vitest.config.ts | ||
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.
