Kilo Code vs Lovable
Kilo Code is an agent inside your real codebase and IDE — not a hosted no-code app builder.
Quick Comparison
Your real codebase, your real IDE
Kilo edits files in your existing repository through VS Code, JetBrains, CLI or Desktop beta. Lovable operates inside its own hosted browser environment on generated scaffolds.
500+ hosted models, plus BYOK and local inference
Choose Kilo Gateway, your own provider credentials, or a compatible local model. Model capabilities and tool support vary; a large catalog does not mean every model fits every workflow.
Open clients with clear license boundaries
The VS Code, JetBrains, and CLI clients are MIT-licensed. Gateway and Cloud backend code are source-available under a separate repository license, not a promise that every hosted service or Desktop component is MIT-licensed.
Lovable alternative: why developers switch to Kilo Code
Kilo Code plugs into your real IDE and codebase — Lovable is a hosted AI app builder optimized for greenfield prototyping.
Your real codebase, your real IDE
Kilo edits files in your existing repository through VS Code, JetBrains, CLI or Desktop beta. Lovable operates inside its own hosted browser environment on generated scaffolds.
500+ hosted models, plus BYOK and local inference
Choose Kilo Gateway, your own provider credentials, or a compatible local model. Model capabilities and tool support vary; a large catalog does not mean every model fits every workflow.
Open clients with clear license boundaries
The VS Code, JetBrains, and CLI clients are MIT-licensed. Gateway and Cloud backend code are source-available under a separate repository license, not a promise that every hosted service or Desktop component is MIT-licensed.
From prototype to production — no export cliff
Use Cloud Agents from your browser, then review the repository in your IDE, CLI or Desktop beta. Lovable projects can be moved through GitHub when you want an external coding workflow.
Use the Kilo agent in a desktop workspace, or keep your existing VS Code, JetBrains, CLI, and Cloud workflows. Desktop runs the Kilo CLI engine and supports 500+ hosted models through Kilo Gateway, your provider keys, and local inference.
Interactive Python notebooks
Edit and run notebook cells alongside the agent, with outputs visible next to the conversation.
Notebook documentationManaged conda environments
Manage Python environments and packages in the app, with access to Anaconda's 19,000 vetted packages.
Environment documentationLocal inference when it fits
Import a compatible GGUF model into the built-in local model server. Hardware and tool-calling support determine which tasks work well.
Local inference documentation
Available for macOS Apple Silicon, Windows, and Linux. The built-in local model server, notebooks, and conda environments require a Kilo account. Local inference is not a guarantee of an entirely offline or air-gapped application. See requirements.
Compare the whole cost, not just the seat
- Platform
- Free for individuals. Teams is $15/user/month; Enterprise is custom. SSO, SCIM, and audit logs are Enterprise features, not included in Teams.
- Inference
- Use available free models, local inference, or BYOK. Kilo Gateway charges provider rates with no inference markup. Kilo Pass is an optional credit subscription.
- Cloud compute
- Cloud Agents and hosted Code Reviews have separately priced compute in addition to model inference. Check current pricing and any applicable beta offer. BYOK does not remove compute charges.
Credit purchase processing fee: 5%. Applies to card purchases that add credits, including top-ups and Kilo Pass. Excludes seat subscriptions and non-card payments. See full pricing.
Open-source scope: VS Code, JetBrains, and CLI clients are MIT-licensed; Gateway and Cloud backend code are source-available under a separate license. These licenses do not establish the license of every Desktop component. See component licenses.
Kilo details reviewed . Competitor review dates are listed separately.
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Complete Feature Comparison
An honest look at where Kilo wins, where Lovable wins, and where they're comparable
Platform & Environment
AI & Model Flexibility
Pricing
Deployment & Production
Platform & Environment
| Feature | Lovable | Kilo Code |
|---|---|---|
Works in your own IDE | ||
Works on existing codebases | Optimized for greenfield | |
Browser-based building | ||
Continue in IDE after building | Export to GitHub required | |
CLI support |
AI & Model Flexibility
| Feature | Lovable | Kilo Code |
|---|---|---|
AI model choice | Fixed selection | 500+ |
BYOK support | ||
Local models |
Pricing
| Feature | Lovable | Kilo Code |
|---|---|---|
Pricing model | $25–$50 for 100 credits | Provider-rate inference; separate fees and compute |
Usage cap | Credit limit | Usage balance, provider limits and configured budgets |
Client licensing | MIT extension and CLI clients |
Deployment & Production
| Feature | Lovable | Kilo Code |
|---|---|---|
One-click deploy | ||
Live preview | ||
Deploy to any platform | Limited | |
Long-lived production codebases | Optimized for prototypes |
Adopt Kilo alongside Lovable
Validate models, permissions, reusable instructions, and team workflows before removing your current tool. Choose Kilo Desktop beta for a code-and-data workspace, or install Kilo in the editor and terminal you already use.
Install Kilo Code
Install a VS Code or JetBrains integration, the CLI or Desktop beta, or configure Cloud Agents for a hosted workflow.
Open or clone your project
Open your existing repo or clone your Lovable project from GitHub. Kilo works with any codebase.
Start Building
Prompt Cloud Agents from your browser or work with agents in your IDE — your choice. No export cliff.
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