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Kilo CLI 1.0 - An open-source command-line tool from Kilo Code.

Kilo CLI 1.0 is an open-source command-line tool from Kilo Code, designed specifically for agent engineering. Built on OpenCode, it supports over 500 AI models and allows developers to...

What is Kilo CLI 1.0?

Kilo CLI 1.0 is an open-source command-line tool from Kilo Code, designed specifically for agent engineering. Built on OpenCode, it supports over 500 AI models, allowing developers to choose the appropriate model for their task. The tool offers seamless cross-platform compatibility, sharing configurations with VS Code and JetBrains plugins, and supports SSH remote development. Kilo CLI 1.0's native terminal design enables engineers to use AI-assisted programming in any environment.

Key features of Kilo CLI 1.0

  • Model free choiceWith access to 500+ AI models, developers can flexibly switch between different models according to task requirements, independently weighing cost, latency, context length, and inference capabilities, thus avoiding being locked into a single vendor.
  • Native terminal experienceDesigned specifically for command-line environments, it supports remote server connections via SSH, ensuring engineers gain full AI programming assistance capabilities in pure terminal scenarios.
  • Cross-platform synchronizationIt shares user configuration and session state with VS Code and JetBrains plugins, enabling seamless switching between different development environments and allowing you to continue your previous work anytime, anywhere.
  • Fully open sourceBuilt on the OpenCode project and released under the MIT license, the code can be freely viewed, modified, and integrated.
  • Intelligent agent workflowIt supports features such as AI code review, session sharing, and remote execution of Cloud Agents, covering the entire development lifecycle from coding to deployment.

Technical Principles of Kilo CLI 1.0

  • Open source infrastructureKilo CLI 1.0 is built on the OpenCode open-source CLI technology platform. OpenCode is an MIT-licensed terminal native intelligent agent coding tool that provides a high-performance TUI infrastructure, enabling Kilo to directly use its mature terminal interaction capabilities.
  • Model-independent platform integrationThe tool is deeply integrated with Kilo's model-agnostic platform, accessing 500+ AI models through a unified abstraction layer. Developers can dynamically switch between models from different vendors in a single session, and the system automatically routes to the optimal inference endpoint based on task requirements.
  • Client-server architectureIt adopts a client-server architecture design, with the OpenCode server as the local runtime core and Kilo CLI as the front-end interaction layer. The two communicate through a standardized protocol, and the separate architecture supports future expansion to remote execution and cloud proxy functions.
  • Cross-platform state synchronizationKilo's central service enables cross-device state synchronization, ensuring that user configuration preferences, conversation history, and workspace context remain consistent in real time across CLI, VS Code, and JetBrains plugins, allowing developers to seamlessly continue workflows from any entry point.

How to use Kilo CLI 1.0

  • Install globally via npm:
npm
install
-g @kilocode/cli
  • start upRun the following command in the project directory:
kilo

The tool will automatically detect the code repository and initialize the environment.

Kilo CLI 1.0 project address

  • Project official website: https://blog.kilo.ai/p/kilo-cli

Application scenarios of Kilo CLI 1.0

  • Multi-model strategy executionThe system dynamically selects the optimal model for different tasks, uses lightweight models to quickly generate code snippets, and uses strong inference models to handle complex architecture designs, achieving the best balance between cost and performance.
  • Cross-device workflow switchingStart a coding session via CLI during your commute and seamlessly continue in VS Code after returning to your workstation, or share it with teammates via Slack, maintaining contextual consistency throughout.
  • Emergency inspection of the production environmentAt 2 a.m., the system connects directly to the production server via a terminal and uses AI to quickly analyze logs, locate faults, and generate repair solutions without the need to set up a complex development environment.
  • Open source toolchain integrationBased on the MIT licensed codebase, enterprises can deeply customize CLI behavior, embed it into their internal DevOps pipelines, or integrate it with other toolchains.
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