|
Some checks are pending
CI / test (4) (push) Waiting to run
CI / test (5) (push) Waiting to run
CI / test-pi-tui (push) Waiting to run
CI / test-windows (push) Waiting to run
CI / lint (push) Waiting to run
CI / typecheck (push) Waiting to run
CI / build (push) Waiting to run
CI / test (1) (push) Waiting to run
CI / test (2) (push) Waiting to run
CI / test (3) (push) Waiting to run
Nix Build / Check flake.nix workspace sync (push) Waiting to run
Nix Build / nix build .#kimi-code (push) Blocked by required conditions
Release / Native release artifact (push) Blocked by required conditions
Release / Release (push) Waiting to run
Release / Deploy docs (push) Blocked by required conditions
Release / Publish native release assets (push) Blocked by required conditions
* fix(agent-core-v2): seed the activity view's lastTurn from the persisted turn.ended record A cold-resumed agent seeded its activity view only from live loop/task state, so the last turn's outcome was lost on a server restart: sessions came back with no lastTurnReason, and clients could not surface a previously failed turn (e.g. a provider 429 that killed the turn before the restart). The loop already persists the terminal turn.ended record (reason, error, durationMs); fold the latest one into the TurnModel as lastEnded and have AgentActivityView.seedFromLoop adopt it when no turn is active, so the session work aggregate (and everything built on it) reflects the last turn's outcome again after a cold start. * fix(agent-core-v2): seed lastTurn on wire restore and add a changeset Review follow-up: the agent scope (and with it this view) is constructed before wire.restore() replays the journal, so a constructor-time read of TurnModel.lastEnded always saw the initial state on a cold resume. Move the wire-backed seed behind the onDidRestore hook (constructor seed kept for views built after a restore), and drop the inline comments in favor of the file header per the package comment convention. * docs(agent-core-v2): trim the activityView header to role and collaborators Review follow-up: the previous revision narrated the restore-hook mechanics in the header; the package convention keeps headers at the module's external role plus collaborators, so drop the implementation narrative. * fix(agent-core-v2): keep TurnModel.lastEnded across clock advances Review follow-up: advanceTurnClock built a fresh state object without spreading, so a new prompt or a queued cancel silently dropped the stored last-ended outcome even though no new turn had ended — after a restart the activity view would again find nothing to seed. Spread the prior state and cover the prompt/queued-cancel/replace cycle with a model-level test. * fix(agent-core-v2): clear the stored turn outcome once a newer turn starts Review follow-up: with the clock advances preserving lastEnded, a prompt persisted without its turn ever starting would leave the previous turn's outcome to be seeded after a restart, reporting a stale result for a turn that never ended. The loop-event fold now drops lastEnded as soon as a newer turn's events land, while prompts and queued cancels keep it. * docs(agent-core-v2): keep the turnOps header at the domain role Review follow-up: the lastEnded keep/clear mechanics read as implementation narrative in the header; the convention there is role and collaborators only. |
||
|---|---|---|
| .agents/skills | ||
| .changeset | ||
| .github | ||
| apps | ||
| build | ||
| docs | ||
| packages | ||
| plugins | ||
| scripts | ||
| .editorconfig | ||
| .gitattributes | ||
| .gitignore | ||
| .npmrc | ||
| .nvmrc | ||
| .oxfmtrc.json | ||
| .oxlintrc.json | ||
| AGENTS.md | ||
| CLAUDE.md | ||
| CONTRIBUTING.md | ||
| flake.lock | ||
| flake.nix | ||
| GOAL.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
- 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.
