Kilo Code

Kilo Code is an open-source AI coding agent and agentic engineering platform designed to help developers plan, build, debug, refactor, review, and automate software-development tasks. It works across VS Code, JetBrains IDEs, the command line, cloud environments, and Slack, allowing developers to use AI assistance without being locked to a single model provider or development environment.

Kilo Code’s main distinction is its model-agnostic approach. The platform provides access to more than 500 AI models and allows users to switch models according to the task. Developers can use hosted models through Kilo’s gateway, bring their own API keys, or connect compatible local models. Kilo states that its hosted-model pricing follows provider rates without adding an inference markup.

The platform functions as an AI pair programmer as well as an autonomous coding agent. It can generate code from natural-language instructions, understand project context, modify multiple files, execute terminal commands, run tests, investigate errors, and assist with debugging. Specialized modes such as Ask, Plan, Code, and Debug allow developers to use different workflows depending on whether they are exploring a codebase, planning an implementation, writing code, or diagnosing a problem.

Kilo Code also provides inline autocomplete, giving developers AI-powered suggestions while they type. Autocomplete can be configured with different providers, including the ability to use a developer’s own Mistral API key.

Another important capability is codebase indexing and semantic search. Kilo can use Tree-sitter parsing and AI embeddings to understand the structure and meaning of code across a project. This allows developers to search for concepts such as authentication logic or database connections rather than relying solely on exact keyword matches. Supported embedding options include OpenAI, Ollama, Gemini, Mistral, OpenRouter, Voyage, and other OpenAI-compatible providers.

For development automation, Kilo provides AI-powered code reviews, agent management, CI/CD workflows, scheduled scans, and MCP integrations. Its automation capabilities can review pull requests, identify security or performance issues, detect bugs, and assist with documentation and testing.

Kilo also extends beyond the local IDE. Kilo for GitHub allows developers to mention the Kilo bot in issues, pull requests, and review comments to ask questions, diagnose bugs, review code, or request implementations. Kilo can create a branch, commit changes, and open a pull request for requested implementations.

Through Kilo for Slack, teams can interact with their repositories directly from Slack. Developers can ask questions, debug problems, request implementations, and have Kilo create branches and pull requests based on conversations.

The platform is also designed for teams. Kilo Teams provides centralized billing, usage monitoring, roles, permissions, and model controls, while Enterprise adds capabilities such as SSO, SCIM, audit logs, dedicated support, and SLA commitments.

Kilo Code is open source and its current repositories are released under the MIT License. The project can be inspected, modified, and extended by developers. Kilo also provides a CLI, JetBrains plugin, VS Code extension, cloud agents, and other development experiences.

Kilo Code emerged in 2025, with its VS Code launch taking place in March 2025. The platform subsequently expanded into JetBrains, CLI, code-review, cloud-agent, and team-oriented workflows.

Pricing

Kilo Code uses a combination of free platform access, usage-based AI inference, optional Kilo Pass subscriptions, and paid team plans.

The Individual platform tier costs $0. AI inference is charged at the underlying model provider’s rates, with Kilo stating that it does not add a markup to model usage. Users can also use free models or bring their own API keys.

Kilo Teams costs $15 per user/month. Team subscriptions provide centralized billing, usage visibility, team management, roles, permissions, and other organizational controls. AI inference is billed separately from the Teams subscription.

Enterprise pricing is custom and adds enterprise controls such as SSO, OIDC, SCIM, audit logs, model/provider restrictions, dedicated support, and SLA commitments.

Kilo also offers an optional Kilo Pass starting from $19/month, while AI model inference remains separate.

Pricing Model

Open Source + Usage-Based + Subscription

Pricing Note

Kilo Code’s platform is free for individual users, but paid AI model usage is charged at provider rates. A 5% payment-processing fee applies when purchasing Kilo credits. Teams costs $15/user/month, Enterprise is custom-priced, and Kilo Pass is an optional subscription starting from $19/month.

Review

Kilo Code is a strong AI coding platform for developers who want model freedom, open-source software, and agentic development workflows. Its biggest advantage is that users are not restricted to a single AI model. Access to 500+ models, BYOK support, local models, and provider flexibility makes it particularly attractive to developers who want control over model selection and costs.

Its agentic capabilities are another major strength. Kilo can move beyond autocomplete and basic chat by planning tasks, editing code, executing commands, debugging problems, reviewing pull requests, and automating repetitive development workflows.

The combination of VS Code, JetBrains, CLI, GitHub, Slack, and cloud-based workflows also gives Kilo considerable flexibility. Developers can move between their preferred environments while maintaining a consistent AI coding workflow.

The open-source architecture is particularly valuable for developers and organizations that want greater transparency. Kilo’s MIT-licensed code can be inspected and modified, while local-model and BYOK options provide additional control over how AI services are used.

The main limitation is pricing complexity. Although the platform itself is free for individuals, AI inference is separate from platform access, and usage depends on the selected model. Teams also pay a separate per-user subscription while still paying for model inference. Developers therefore need to understand both platform and model costs.

Kilo’s extensive model and configuration options can also introduce more complexity than simpler AI coding assistants designed around one primary provider.

Kilo Code is particularly well suited to developers and engineering teams that want an open-source coding agent with broad model choice, automation capabilities, and flexible deployment across modern development environments.