* fix(transcript): fold mid-turn task notifications into the current turn on cold rebuild * chore: changeset for the notification fold fix * fix(transcript): key the notification fold on persisted task-turn boundaries, not the previous message role * fix(transcript): collect background_task turn origins too, and fall back when the wire has no turn.started records * fix(transcript): fold consecutive task notifications into the same turn * fix(transcript): normalize folded notification text to the live title/body form * fix(transcript): stop folded notification text before child blocks, preserve legacy background_task turns absent from the boundary set * fix(transcript): truncate folded notification text at the first child-block tag, not just the tag lines * fix(transcript): drop folded notifications without a persisted step, truncate only at output blocks * fix(transcript): attach mid-turn task notifications to the following step, cold and live * fix(transcript): keep other tasks' notifications in task-origin turns * fix(transcript): derive task-turn boundaries from durable turn.prompt records * feat(transcript): carry subagent model and thinking effort on task entities * fix(transcript): mirror turn liveness into meta.activity, live and cold * fix(transcript): populate the prompts entity from prompt.accepted/queued engine events * fix(transcript): reconcile liveness and the prompt queue at backfill from the live loop state * fix(transcript): include the prompts entity in the REST transcript response * fix(agent-core-v2): publish prompt.accepted on the event bus * test(transcript): add the contract-level e2e covering every entity the client renders from * fix(transcript): guard the prompt backfill against missing services; align stream expectations with prompt.accepted on the bus * test(agent-core-v2): re-record event stream snapshots with prompt.accepted published * fix(transcript): settle the spawned agent row when its lifecycle redirects to the task row * test(transcript): move the contract e2e timeout to the describe arg (jest lint) * fix(transcript): declare task model fields in the wire schema, carry prompt content on accepted, normalize queued content - transcriptTaskSchema declares model/thinkingEffort: Zod strips undeclared keys, so schema-driven REST/WS consumers lost both fields the projector now populates. - PromptAccepted carries the admitted content (it is the only event a first-turn prompt ever emits, and the bare id left the prompts entity permanently partial) — projected with userMessageId and the public content shape via projectPromptContentParts, same as queued and the live backfill. - Regenerate the wire manifest and re-record the affected event-stream snapshots. * fix(transcript): preserve task model fields across termination and accepted prompt details across queueing - onTaskLifecycle carried resultSummary/usage/error/stateReason but dropped model/thinkingEffort: a completed detached-Agent row lost the metadata spawned set while running. - prompt.queued rebuilt the entity from scratch, discarding the userMessageId and createdAt that prompt.accepted had just stamped — build the queued update from prev. * fix(transcript): keep prompt.accepted out of the public v1 event stream The observable marker made the broadcaster forward every accepted prompt to v1 WS clients, but events-zod has no accepted variant (v1 surfaces submission through the service-synthesized prompt.submitted) and the SDK mapper didn't drop it — schema-driven clients could reject the frame. Drop it at the WS edge and in the SDK's dropped set; the transcript projection keeps consuming it internally. * fix(transcript): derive cold task-turn boundaries through undo anchor replays * fix(transcript): flush trailing folded notifications into the open turn * fix(transcript): drop trailing buffered notifications to match the live projector * chore: split transcript changesets per logical change * fix(transcript): parse only the generated Title/Severity header lines in folded notifications |
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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 | ||
| CLAUDE.md | ||
| CONTRIBUTING.md | ||
| CONTRIBUTING.zh-CN.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.
