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liruifengv 913d042208
fix(tui): keep input anchored after slash command menu closes (#1413) 
* fix(tui): keep input anchored after slash command menu closes

Force a full re-render when the slash command menu closes, but only when the session content already overflows one screen; skipped under tmux. Detect the close edge from a render frame so asynchronous closes (Backspace deleting the leading slash) are covered too. Apply the same overflow/tmux gating when restoring the editor from selector panels.

* fix(tui): measure overflow against restored editor tree

Address Codex review: the overflow probe ran before the editor container was swapped back, so it counted the tall replacement panel and forced a full clear/home even when the restored content fit on one screen, yanking the editor to the top. Measure after the editor is mounted instead.

* fix(tui): redraw when content exactly fills one screen

Address Codex review: the guard skipped the forced redraw when the post-close layout is exactly one screen, leaving the editor shifted up because the differential renderer keeps the old viewport offset after a shrink. An exact fill is safe to clear (no blank tail), so redraw when content fills or overflows the viewport, and cover it with a test.
2026-07-06 15:18:27 +08:00
..
scripts feat(kimi-code): vendor @moonshot-ai/pi-tui (#1254) 2026-07-01 20:23:35 +08:00
src fix(tui): keep input anchored after slash command menu closes (#1413) 2026-07-06 15:18:27 +08:00
test fix(tui): keep input anchored after slash command menu closes (#1413) 2026-07-06 15:18:27 +08:00
.gitignore feat(kimi-code): vendor @moonshot-ai/pi-tui (#1254) 2026-07-01 20:23:35 +08:00
AGENTS.md feat(cli): unify TUI dialog interaction and visuals (#363) 2026-06-03 19:31:07 +08:00
CHANGELOG.md docs(changelog): fix tui revert wording in 0.22.3 (#1376) 2026-07-04 19:57:03 +08:00
package.json ci: release packages (#1355) 2026-07-04 19:17:47 +08:00
README.md docs: mention Windows Git Bash requirement (#419) 2026-06-04 17:04:02 +08:00
tsconfig.dev.json feat(web): introduce Kimi web app and daemon gateway (#625) 2026-06-17 20:53:46 +08:00
tsconfig.json feat(web): introduce Kimi web app and daemon gateway (#625) 2026-06-17 20:53:46 +08:00
tsdown.config.ts fix: fix bundle (#956) 2026-06-22 13:59:57 +08:00
tsdown.native.config.ts feat(vis): faithful wire.jsonl rendering + built-in kimi vis command (#788) 2026-06-16 16:54:14 +08:00
vitest.config.ts chore: use raw query imports for prompt sources (#682) 2026-06-12 11:47:44 +08:00

README.md

@moonshot-ai/kimi-code

The Starting Point for Next-Gen Agents

npm License Docs

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

The recommended install path is the official script. It does not require Node.js to be installed first.

  • 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

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 Terminal session:

kimi --version

Alternative: npm

If you prefer npm, use Node.js 22.19.0 or later:

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

Or with pnpm:

pnpm add -g @moonshot-ai/kimi-code

For upgrade and uninstall instructions, see the Getting Started guide.

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 Kimi Platform API key. After login, try a first task:

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

Key Features

  • Single-binary distribution. Install with one command — no Node.js setup, no PATH gymnastics, no global module conflicts.
  • Blazing-fast startup. The TUI is ready in milliseconds, so opening a session never feels heavy.
  • Polished TUI. A carefully tuned interface designed for long, focused agent sessions.
  • Video input. Drop a screen recording or demo clip into the chat — let the agent watch instead of typing out what's hard to describe in words.
  • AI-native MCP configuration. Add, edit, and authenticate Model Context Protocol servers conversationally via /mcp-config — no hand-editing JSON.
  • Subagents for focused, parallel work. Dispatch built-in coder, explore, and plan subagents in isolated context windows; the main conversation stays clean.
  • Lifecycle hooks. Run local commands at key points — gate risky tool calls, audit decisions, fire desktop notifications, wire into your own automation.

Documentation

Repository & Issues

License

MIT