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Haozhe 4ec2e7fab1
feat(server): default to kap-server and remove the v1 server package (#1617) 
* feat(server): default to kap-server and remove the v1 server package

- kimi server run / kimi web now boot kap-server (agent-core-v2 engine)
  unconditionally; the KIMI_CODE_EXPERIMENTAL_FLAG gate on the server
  path is gone (the kimi -p print-mode gate stays)
- move the OS service manager (svc: launchd/systemd/schtasks) from
  packages/server into packages/kap-server and export it there
- repoint the CLI server subcommands, tests, and dev scripts at
  kap-server; relabel the web dev backend presets default/multi
- delete packages/server and update workspace bookkeeping (flake.nix,
  pnpm-lock.yaml, changeset ignore docs, AGENTS.md, agent-core-dev skill)

* test(server-e2e): remove scenarios that depend on v1 debug endpoints

Scenarios 04-stateless-controls, 10-prompt-queue-steer and
12-send-and-cancel assert through the /api/v1/debug/prompts/*
introspection routes, which only the deleted v1 server mounted —
kap-server's --debug-endpoints is a documented no-op, so these
scenarios can only 404 now. The vitest e2e files using the same
surface already skip when it is absent.
2026-07-13 21:43:45 +08:00
..
scripts feat(v2): land agent-core-v2 engine and kap-server behind experimental flag (#1441) 2026-07-12 21:44:04 +08:00
src feat(server): default to kap-server and remove the v1 server package (#1617) 2026-07-13 21:43:45 +08:00
test feat(server): default to kap-server and remove the v1 server package (#1617) 2026-07-13 21:43:45 +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 ci: release packages (#1546) 2026-07-12 20:28:38 +08:00
package.json feat(server): default to kap-server and remove the v1 server package (#1617) 2026-07-13 21:43:45 +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 chore: drop #/ import array fallbacks and custom resolution plugins (#1594) 2026-07-13 16:37:35 +08:00
tsdown.native.config.ts chore: drop #/ import array fallbacks and custom resolution plugins (#1594) 2026-07-13 16:37:35 +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