Kilo Code
VerifiedOpen-source AI coding agent for VS Code, JetBrains, the terminal and the cloud
Product preview
Kilo Code
What it is
Kilo Code is an open-source AI coding agent available as a VS Code extension, a JetBrains plugin, a command-line tool, a beta desktop app and cloud agents you can start from a browser, Slack or a phone. It can plan features, edit files across a codebase, run commands and tests, debug, and review pull requests. Kilo connects to more than 500 models through its gateway with no markup on inference, and also supports bring-your-own keys and local models. Individual use of the platform is free, with inference billed separately, while Teams and Enterprise plans add usage analytics, shared agents, centralized billing, SSO and audit logs. It suits developers who want model choice without lock-in.
Key features
- Agents for IDE, CLI, desktop and cloud
- Access to 500+ models with no markup
- Planning, debugging and code review modes
- Bring your own keys or local models
What we liked
- + Fully open source
- + Free platform for individuals
- + Wide editor and model support
Worth noting
- · Model usage is billed separately
- · Many surfaces and options to configure
Editor's notes
More context from AI BirdView
Kilo Code appeals to developers who like to see what their tools are doing. The agent is fully open source, and its pricing model separates platform access from model costs, so you pay providers' rates through the gateway or use your own keys instead of paying a markup.
- One agent across VS Code, JetBrains IDEs, the terminal, a desktop app and the cloud
- More than 500 models available, including frontier, open-weight and local options
- Dedicated planning, debugging and code review workflows
- Parallel agents in isolated worktrees for running tasks side by side
- Slack and mobile access for starting and checking cloud agents remotely
Kilo Code is best for individual developers and engineering teams who want an agentic coding assistant with model freedom and an auditable codebase. The company says millions of developers use it, and the individual plan costs nothing beyond inference. A practical tip: start with the automatic model routing while you learn the workflow, then pin specific models for tasks where you have a clear preference, such as a cheaper model for small edits and a stronger one for planning larger features.
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