Kilo is an open-source AI coding agent available across VS Code, JetBrains IDEs, the CLI, cloud agents, Slack, and code-review workflows. It supports more than 500 AI models, allows users to bring their own provider keys, and can generate, modify, debug, test, review, and deploy code using natural-language instructions
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Features & details
Full overview from our catalog (read-only reference).
Category (short)
Code Assistant
Category
Code Assistant
Pricing (CSV)
Free Trial
Directory pricing
Freemium
Target audience
Developers & engineers
Best for
Kilo is best for developers and engineering teams that want an open-source, multi-model alternative to closed AI coding tools. It is especially useful for users who want to choose their own model provider, control costs, work across IDE and CLI environments, or inspect and modify the underlying agent code.
Pricing notes
Kilo’s main pricing advantage is the separation between the coding-agent software and the underlying AI model cost. Individual users can use Kilo without a software subscription, but model inference is still billed at provider rates unless they use free models, local models, or available promotional credits.
Pros & cons
Editorial notes to help compare fit before opening the vendor site.
Pros
Open-source and MIT-licensed.
Supports more than 500 AI models.
Users can switch models during a task.
Bring-your-own-key and local-model options improve control over cost and privacy.
Works across VS Code, JetBrains, CLI, cloud, Slack, and code-review workflows.
Cons
The overall cost can be difficult to predict because AI provider charges are separate from Kilo’s software or team fees.
Access to the most capable models can become expensive during long agentic tasks.
Open-source transparency does not eliminate the need to review data-sharing and provider settings.
Large numbers of models, modes, and configuration options may overwhelm beginners.
Review notes
Context from the listing review and editorial research.
Kilo’s strongest differentiator is its combination of open-source code, multi-model access, IDE/CLI flexibility, and agentic workflows. It is more configurable than many mainstream coding assistants and is well suited to developers who want control over models, prompts, context, and cost
Extended features
In-depth description and capability notes.
AI coding agent for VS Code, JetBrains, and the terminal.
Access to more than 500 models.
Bring-your-own-key support for AI providers.
Zero AI-inference markup when using provider rates.
Local-model support for privacy-sensitive workflows.
Natural-language code generation and editing.
Inline autocomplete and ghost-text suggestions.
Use cases
Generating applications from natural-language specifications.
Understanding unfamiliar or legacy codebases.
Planning complex features before implementation.
Refactoring code across multiple files.
Debugging errors and tracing failures.