* feat(agent-core-v2): interruption reminder for user-cancelled turns
When the user interrupts a turn with Esc, append a durable
<system-reminder> (origin: injection/interruption) to the agent context
via a new loop aspect watching turn.ended, so the model learns the
previous turn was deliberately cut off. The marker persists to the
wire, replays on resume, stays hidden from transcripts, skips non-user
aborts and steer, and does not stack on repeated cancels.
Two supporting fixes:
- An aborted LLM stream now persists its accumulated partial
text/thinking as content.part loop events instead of dropping every
produced token; gated on the turn signal so retried or
step-cancelled attempts keep their partial output out of the record.
- The turn.cancel wire op carries an optional reason
('user_cancelled' | 'aborted') so cold readers can tell deliberate
interrupts from programmatic aborts. Goal-lifecycle cancels now pass
an explicit programmatic reason to keep that field honest.
* feat(transcript): mark user-cancelled turns with an interruption marker
Project the deliberate user interrupt onto the transcript timeline: the
live projector emits an 'interruption' marker when a turn ends with
interruptReason 'user_cancelled', and the cold fold consumes the
persisted turn.cancel reason into the same marker. Programmatic aborts
keep surfacing through their own outlets (errors, goal/task state), and
queued cancels that left no visible residue are skipped.
* fix(agent-core-v2): make user-turn cancellation idempotent and reconcile interruption reminders on restore
* fix(transcript): dedupe user-cancelled interruption markers by turn in the cold fold
* chore(agent-core-v2): regenerate state manifest after merging main
* refactor(agent-core-v2): split interruptionReminder out of the loop domain
The loop domain owns turn execution mechanics; whether an interrupted turn
should produce a model-visible reminder is a model-context policy. Move it
into its own L4 domain with its own wire model that cross-reduces the
loop's turn.cancel fact, and rename the op to interruptionReminder.recorded.
---------
Signed-off-by: Haozhe <yanghaozhe@moonshot.ai>
Co-authored-by: Haozhe <yanghaozhe@moonshot.ai>
|
||
|---|---|---|
| .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.
