* feat(agent-core-v2): support grouped multi-skill prompt submissions Add IAgentSkillService.promptWithSkills: one or more skill activations are validated up front (an unknown or empty submission rejects with no side effects), recorded with a shared submissionId, and enqueued ahead of the prompt through the prompt queue's messagesBefore support, so the whole group materializes atomically as a single turn. Undo cuts, the transcript projection, and the undo precheck treat the group as one unit (stopping at the next anchor even when submission ids collide); hook-result messages are skipped like injections during those walks. Submit hooks run against every message of the group, and user-slash skill activations count as user-submitted content for the UserPromptSubmit hook's origin filter. Surface it through the contract layers: protocol gains submissionId on the user / skill_activation origins and on the skill.activated event (kap-server zod mirrored), klient exposes agentSkillContract.promptWithSkills with parity assertions, and the SDK grows session.promptWithSkills — implemented on the v2 engine and rejecting loudly on the deprecated v1 engine, which is otherwise untouched. * fix(agent-core-v2): reject empty skill lists in grouped prompt submissions - Validate that promptWithSkills receives at least one skill, enforced in the engine and as a non-empty constraint in the klient wire schema. - Restore the released versions and changelog sections for agent-core-v2, klient, and node-sdk that the branch cut had reverted. - Move statement-level narration into the owning file headers per the package comment conventions. - Align the hook-result undo tests with the reachable record ordering (hook results are recorded before the group materializes). * refactor(agent-core-v2): bundle grouped skill activations into the prompt message Replace the submissionId-correlated message group with a single bundled user message: the rendered skill blocks precede the caller's parts in the content, and every activation's metadata rides the prompt origin's new skillActivations field. The bundle is one anchor by construction, so undo needs no group-cutting logic and the messagesBefore prompt seam disappears; the submit hook fires once per submission. skill.activated still fires per skill (transient ops, live-only); resume rebuilds the per-skill view from the prompt origin. Contract chain (protocol, kap-server, klient, node-sdk) drops submissionId accordingly. * fix(agent-core-v2): keep bundled skill blocks out of prompt-facing projections - The transcript cold rebuild expands a bundled prompt's origin skillActivations back into per-skill markers (the live path already projects them from skill.activated events). - turn.started.prompt, the session title excerpt source, and the fork lastPrompt now derive from the caller's own parts, excluding the rendered skill blocks the engine prepends to the bundled content. - Drop the redundant undefined unions from the new origin fields. - Move the activateSkill test narration into the file header. |
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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 | ||
| 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.
