What is Kilo Code and how does it work?

Kilo is an open source AI coding agent available in VS Code, JetBrains, CLI, and Cloud environments. It provides access to 500+ AI models and allows developers to bring their own API keys at zero markup while maintaining code privacy through local model options.

Which IDEs does Kilo Code support?

Kilo Code supports VS Code and JetBrains IDEs, as well as CLI and Cloud interfaces. This multi-platform approach allows developers to integrate AI coding assistance directly into their preferred development environment.

Can I use my own AI models with Kilo Code?

Yes, Kilo Code allows you to bring your own API keys at zero markup, and it supports local models for keeping your code private. This flexibility gives you control over which models you use and ensures your code remains secure.

Is Kilo Code open source?

Yes, Kilo is an open source AI coding agent, which means the source code is publicly available for review and community contribution. This transparency helps ensure security and allows developers to customize the tool for their specific needs.

How many AI models can Kilo Code access?

Kilo Code provides access to 500+ AI models, giving developers extensive options for different coding tasks and preferences. You can select the models that best fit your workflow and requirements.

Kilo Code

Privacy-conscious developers who want AI coding without sending code to third parties Cost-optimized teams managing large AI coding budgets across many developers

AI Tools Development

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What Is Kilo Code?

Kilo Code is an open-source AI coding agent available for VS Code, JetBrains IDEs, CLI, and Cloud environments. Developed by Kilo AI and accessible at kilo.ai, it positions itself as a developer-first tool that lets engineers integrate AI-assisted coding directly into their existing workflows without vendor lock-in. Unlike many closed-source alternatives, Kilo Code gives developers full transparency into the agent's behavior while supporting over 500 AI models with a bring-your-own-keys (BYOK) model at zero markup on API costs.

Key Features and Capabilities

500+ Model Support: Kilo Code connects to a broad range of AI models including options from OpenAI, Anthropic, Google, and open-source providers, giving teams flexibility to choose models based on cost, performance, or compliance requirements.
Bring Your Own Keys (BYOK): Users supply their own API keys and pay providers directly at standard rates. Kilo Code charges zero markup, making cost estimation straightforward for teams managing AI budgets.
Local Model Support: For teams with strict data privacy requirements, Kilo Code supports locally hosted models, ensuring source code never leaves the developer's machine or private infrastructure.
Multi-Platform IDE Integration: Native extensions are available for both VS Code and JetBrains IDEs (including IntelliJ, PyCharm, and WebStorm), covering the two most widely used IDE ecosystems in professional development.
CLI and Cloud Modes: Beyond IDEs, Kilo Code operates via command line for automation pipelines and offers a cloud interface for remote or browser-based usage.
Open-Source Codebase: The agent is fully open source, allowing engineering teams to audit, fork, or self-host the tool, which is particularly valuable in regulated industries or enterprises with custom security policies.

Pricing and Use Cases

Kilo Code itself is free to use as an open-source project. Actual costs depend entirely on the AI model APIs you connect, meaning a team using a low-cost open-source model locally could run the agent at effectively zero ongoing cost. For teams using commercial APIs like GPT-4o or Claude 3.5 Sonnet, costs reflect those providers' standard per-token pricing with no additional layer added by Kilo. This makes it a practical option for startups watching API spend as well as enterprises needing predictable cost controls.

Solo developers benefit from IDE-native AI assistance without committing to a paid subscription platform.
Engineering teams can standardize on a single agent across VS Code and JetBrains users while controlling which models are approved for use.
Privacy-sensitive organizations in finance, healthcare, or legal sectors can route all completions through local models, satisfying data residency requirements.
DevOps and platform teams can integrate the CLI agent into CI/CD pipelines for automated code review or generation tasks.

Verdict

For developers searching for a Kilo Code alternative to proprietary tools like GitHub Copilot or Cursor, Kilo Code offers a transparent, cost-controllable option with broader model compatibility. It is particularly strong for teams that need local inference, multi-IDE support, or direct API cost management. Those evaluating the best SaaS Tool software for AI coding will find Kilo Code a credible choice, especially where open-source auditability and BYOK pricing are priorities. The main trade-off is that setup requires more configuration than fully managed services, making it better suited for technically confident teams.

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Kilo Code vs. Alternatives

Feature	Kilo Code	GitHub Copilot	Cursor
Open Source Codebase	✓	✗	✗
Bring Your Own API Keys (Zero Markup)	✓	✗	○
Number of Supported AI Models	–	–	○
VS Code Integration	✓	✓	✓
JetBrains IDE Support	✓	✓	✗
CLI Access	✓	✗	✗
Local Model Support (Privacy)	✓	✗	○
Cloud Agent Mode	✓	○	○

✓ Supported ○ Limited ✗ Not supported

Why this tool?

Strengths

Open-source AI coding agent with 500+ model access—no vendor lock-in
Bring your own API keys at zero markup—pay models directly, no platform tax
Local model support keeps your code private while maintaining IDE integration
Works across VS Code, JetBrains, CLI, and cloud deployments seamlessly

vs. Alternatives

vs GitHub Copilot: Own your keys, access 500+ models, choose local-only processing
vs Cursor: Open-source alternative with CLI/cloud flexibility beyond editor-only
vs Tabnine: No SaaS markup on model costs, control data privacy per-project
vs Claude in VS Code: Multi-model choice and local execution option built-in

Try Kilo free with your own OpenAI key—zero platform fees, start immediately

When NOT to use?

You need a closed-source, enterprise-locked solution with guaranteed vendor support. Kilo's open-source nature means you're responsible for maintenance, updates, and troubleshooting—there's no dedicated enterprise support team guaranteeing uptime or handling critical issues on your timeline.
Your team works exclusively in non-supported IDEs or editors. Kilo integrates with VS Code and JetBrains only; if your developers use Sublime Text, Vim, Emacs, or other editors as their primary environment, you'll be forced into a CLI-only workflow that disrupts existing habits.
You require air-gapped or fully offline development with zero external API calls. While Kilo supports local models, the platform still relies on cloud connectivity for certain features and model access; completely disconnected networks will face limitations.
Your organization has strict data residency laws prohibiting any model inference outside specific geographic regions. Using 500+ third-party models (even with your own keys) introduces complexity in guaranteeing where code and prompts are processed, which may violate compliance requirements like GDPR or healthcare regulations.
You need pre-built, industry-specific coding templates tailored to your exact tech stack. Kilo is a general-purpose AI agent; it won't replace specialized tools built for niche languages, legacy systems, or domain-specific frameworks that require deep contextual knowledge.

Frequently Asked Questions

What is Kilo Code and how does it work?: Kilo is an open source AI coding agent available in VS Code, JetBrains, CLI, and Cloud environments. It provides access to 500+ AI models and allows developers to bring their own API keys at zero markup while maintaining code privacy through local model options.
Which IDEs does Kilo Code support?: Kilo Code supports VS Code and JetBrains IDEs, as well as CLI and Cloud interfaces. This multi-platform approach allows developers to integrate AI coding assistance directly into their preferred development environment.
Can I use my own AI models with Kilo Code?: Yes, Kilo Code allows you to bring your own API keys at zero markup, and it supports local models for keeping your code private. This flexibility gives you control over which models you use and ensures your code remains secure.
Is Kilo Code open source?: Yes, Kilo is an open source AI coding agent, which means the source code is publicly available for review and community contribution. This transparency helps ensure security and allows developers to customize the tool for their specific needs.
How many AI models can Kilo Code access?: Kilo Code provides access to 500+ AI models, giving developers extensive options for different coding tasks and preferences. You can select the models that best fit your workflow and requirements.