KiloCode: access all AI engines from one tool

KiloCode: AI without lock-in

In a market dominated by proprietary tools tied to a single model provider, KiloCode stands out with a radically different philosophy: open, flexible, and developer-centric. This open source agentic coding assistant lets you access over 500 AI models from a single tool, without vendor lock-in.

For freelance developers and teams who want to keep control of their costs and data, KiloCode deserves serious consideration.

What is KiloCode?

KiloCode is an open source extension for VS Code and JetBrains, also available as a command-line interface (CLI). Unlike Cursor or Copilot, which are tied to specific models, KiloCode lets you choose the AI model that fits each task: GPT-4o, Claude, Gemini, or even local models via Ollama.

The three interfaces

1. VS Code Extension (primary)

Installation is done from the VS Code Marketplace. Once installed, KiloCode integrates into a side panel with:

• Conversational chat for discussing code
• Specialized agent modes (Architect, Code, Debug, Orchestrator)
• Real-time code completion
• Automatic codebase indexing

2. JetBrains Extension

Available since late 2024, the JetBrains extension offers similar features for IntelliJ, WebStorm, PyCharm and other JetBrains IDE users.

3. CLI (command line)

For developers who prefer the terminal, the CLI offers equivalent power:

npm install -g @kilocode/cli
kilo chat
kilo agent run "Refactor this module to use TypeScript"

The CLI is particularly useful for automation in CI/CD pipelines and maintenance tasks.

Key features

Model flexibility (400+ options)

This is KiloCode’s flagship feature. You can:

• Use your own API keys (BYOK - Bring Your Own Key)
• Connect local models via Ollama or LM Studio
• Access the Kilo Gateway for 500+ models
• Mix approaches based on tasks

This flexibility enables cost optimization: use local models for experimentation and reserve premium models for critical tasks.

Specialized agent modes

KiloCode offers several agent modes tailored to different types of tasks:

• Architect: architecture and design thinking
• Code: code generation and modification
• Debug: bug diagnosis and resolution
• Orchestrator: coordination of complex multi-step tasks

Memory Bank and indexing

The Memory Bank allows KiloCode to maintain persistent context between sessions. Codebase indexing lets the agent understand your entire project, not just the open file.

Local models for privacy

For sensitive projects or companies with strict data protection policies, KiloCode supports local models via Ollama and LM Studio. Your data never leaves your machine.

Comparison with alternatives

Criteria	KiloCode	Cursor	Copilot
Open source	Yes	No	No
Multiple models	500+	3-4	2-3
Local models	Yes	No	No
BYOK	Yes	No	No
Extension price	Free	$20/month	$10/month
IDE	VS Code, JetBrains, CLI	Cursor (VS Code fork)	VS Code, JetBrains, Neovim

Advantages over Windsurf

Windsurf, a recent competitor, offers similar features but with limitations:

• Windsurf is proprietary and limited to its own models
• KiloCode offers more flexibility in model choice
• KiloCode’s BYOK pricing can be significantly cheaper
• KiloCode’s open source community ensures rapid evolution

Pricing

The KiloCode extension itself is free and open source. Costs come from AI models:

Option 1: BYOK (Bring Your Own Key) You pay AI providers directly (OpenAI, Anthropic, etc.) at their standard rates.

Option 2: Kilo Pass A monthly subscription offering credits with up to 50% bonus:

• Starter: $19/month (~$28.50 in credits)
• Pro: $49/month (~$73.50 in credits)
• Expert: $199/month (~$298.50 in credits)

Option 3: Local models Free, but requires sufficient hardware to run the models.

Teams option: $15/user/month with analytics, centralized billing, and access controls.

Who is KiloCode for?

KiloCode is ideal for:

• Developers who want to avoid vendor lock-in
• Teams with privacy constraints (local models)
• Power users who want to choose the best model for each task
• Freelancers who want to optimize their AI costs
• Open source contributors who want to participate in the tool’s evolution

Conclusion

KiloCode represents a mature and pragmatic approach to AI assistance for developers. Its openness, model flexibility, and transparent pricing make it a serious alternative to proprietary solutions.

For developers who, like me, refuse to depend on a single provider, KiloCode is probably the best choice available in 2025. Installation from the VS Code Marketplace takes a few minutes, and the tool is immediately usable with any existing API key.

Getting started with KiloCode

Setting up KiloCode is straightforward:

1. Install the extension from the VS Code Marketplace or JetBrains plugin repository
2. Configure your provider: either enter your API keys or set up a local model with Ollama
3. Choose your default model: KiloCode will remember your preference per-project
4. Start coding: open the KiloCode panel and begin a conversation

For teams, the Kilo Pass subscription adds centralized billing, usage analytics, and the ability to share agent modes across the organization. The AI Adoption Score feature helps managers understand how effectively their teams are using AI assistance.

Real-world workflow integration

In my daily work as a freelance developer, I use KiloCode in three main ways:

• Morning planning: Architect mode helps me break down complex features into manageable tasks
• Active coding: Code mode handles boilerplate, test generation, and repetitive patterns
• End-of-day review: Debug mode catches potential issues before I commit code

The ability to switch between models mid-conversation is particularly useful. I might use a fast, cheap model for initial scaffolding, then switch to Claude Opus for complex logic that requires deeper reasoning.