Kilo Code
About
Build, ship, and iterate faster with Kilo, one of the most popular open-source AI coding agents. Designed for developers and teams, Kilo helps turn ideas into production-ready code with an AI-powered development workflow.
5M+ Kilo Coders
10T+ tokens processed every month
Whether you’re building a new project, improving an existing codebase, or iterating on features, Kilo helps you move from idea to implementation faster
Features and integrations
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AI Code Generation & Refactoring - Generate, edit, refactor, and debug code with an AI agent that understands your codebase and context.
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Multiple Agent Modes - Switch between specialized Code, Architect, Debug, Ask, and Plan modes for different development tasks.
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500+ AI Models - Access 500+ models from multiple providers, including hosted, BYOK, and local models, giving developers flexibility in model selection.
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Cloud Agents & Code Review - Run coding agents remotely and use AI-powered code review workflows alongside local development.
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AI Autocomplete & Code Actions - Get inline code suggestions plus AI-powered actions for explaining, fixing, improving, and refactoring code directly in the editor.
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Multi-Platform Support - Use Kilo across VS Code, JetBrains IDEs, CLI, Cloud Agents, mobile, and Slack, with sessions available across supported environments.
Pros and cons
Pros
- Open source and MIT licensed -The core Kilo Code clients for VS Code, JetBrains, and CLI are open source, allowing developers to inspect, modify, fork, and contribute to the project.
- 500+ AI models - Kilo supports a large range of hosted, open-weight, and local models, giving developers more flexibility than tools tied to a single model provider.
- No vendor lock-in - Users can bring their own API keys (BYOK), use local models such as Ollama/LM Studio, or use Kilo's Gateway.
- Works across multiple environments - Available across VS Code, JetBrains IDEs, CLI, cloud agents, Slack, and mobile workflows.
- Agentic coding capabilities - It can read and modify project files, execute terminal commands, debug code, browse the web when enabled, and use MCP tools.
- Multiple agent modes - Code, Architect, Debug, Ask and other specialized workflows help with different stages of software development.
- Cloud agents and code review - Developers can move beyond local coding into remote agents, automated reviews, and other development workflows.
- Flexible pricing/model usage - Kilo advertises zero AI inference markup and supports pay-as-you-go usage, BYOK, and free models.
- Large adoption - Kilo currently claims 5M+ Kilo Coders and 10T+ tokens processed per month.
Cons
- AI models aren't necessarily free - While the Kilo extension is free, using most AI models requires payment to a model provider or Kilo.
- More choice can mean more complexity - Supporting 500+ models and numerous providers gives flexibility but can make model selection, pricing, and configuration harder for newcomers.
- Cloud features aren't equivalent to the open-source client - Kilo's "open source" claim applies to specific components; the Gateway and Cloud backend are described as source available, with some security/abuse-protection code excluded.
- Free-model privacy considerations - Kilo's documentation warns that its Auto Free tier may route prompts and outputs through providers that log them and potentially use them to improve their services.
- Agentic tools require oversight - Because Kilo can modify files, execute commands, and interact with external tools, developers still need to review generated changes and understand the permissions granted to the agent.
- Rapidly evolving product - Kilo is adding features and integrations quickly. That is a strength, but it can also mean workflows, pricing, model availability, and features change frequently.
Founder
Flo Merian
Founder, Kilo Code Inc
Flo Merian is the founder behind Kilo, an open-source AI coding platform. A DevTools and product enthusiast, Flo has hunted 400+ developer-first products on Product Hunt and shares practical insights on product launches, growth, and helping developer tools reach the right audience.
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Last updated September 15, 2026
