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Kilo Code

Product information, use cases, and access for Kilo Code.

AI codingAI agentsCode assistantsGeneral agentsWorkflow automationSee official site
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VerifiedSeptember 7, 2026

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What is Kilo Code?

Kilo Code is an open-source AI coding agent for developers and teams who want coding assistance inside the tools they already use. It works with a repository as an ongoing work context, helping with tasks such as writing code, refactoring existing implementation, tracing bugs, and reviewing changes.

The same agent is available across VS Code, JetBrains IDEs, the command line, and cloud-based workflows, so users can choose a surface that fits the task at hand. Specialized modes such as Code, Architect, Debug, and Ask support implementation, design planning, problem investigation, and codebase questions for both individual development and team engineering work.

Key features of Kilo Code

  • Specialized agent modes

    Kilo Code provides Code, Architect, Debug, and Ask modes for implementation and refactoring, design planning, error investigation, and questions about a codebase. Users can switch the working focus within one agent while continuing a development task from planning through code changes.

  • Work across coding surfaces

    The same open-source coding agent is available in VS Code, JetBrains IDEs, the CLI, and Cloud Agents. Developers can work from an editor, terminal, or cloud environment, making it suitable for individuals and engineering teams that want to keep their existing development tools.

  • Flexible model access

    Kilo Code brings multiple AI models into one interface and supports both user-provided API keys and local models. This leaves model selection with the developer, allowing the coding workflow to be adjusted around the task, existing provider access, or a need for local execution.

  • Cloud tasks and review workflows

    Cloud Agents extend the coding agent into cloud workflows for longer engineering tasks, while code review capabilities help inspect changes and provide feedback. IDE, CLI, cloud, and team workflows can be connected, which suits projects that move between local development and collaborative review.