Kilo: The Open Source AI Coding Agent

Categories: Coding & Developer Tools, Automation / Agents, Productivity | Pricing: Freemium | Official Website ↗

Kilo is an open-source AI coding agent that integrates with VS Code, JetBrains, and CLI, supporting over 500 models for various coding tasks.

Kilo is an open-source AI coding agent designed to assist developers across multiple platforms, including VS Code, JetBrains IDEs (IntelliJ, PyCharm, WebStorm), and the command-line interface. It allows users to select from over 500 AI models and provides full transparency into prompts and provider rates. Kilo supports agentic engineering with specialized modes for writing, refactoring, architecting, and debugging code. The platform also offers KiloClaw, a managed version of OpenClaw, which provides a fully managed AI agent that can run 24/7 without the complexities of self-hosting. KiloClaw integrates with communication platforms like Telegram, Discord, and Slack, enabling agents to execute shell commands, control browsers, and perform scheduled tasks. Kilo emphasizes code privacy and data security, offering solutions for individual developers, teams, and enterprises.

Key Features

Open-source AI coding agent
Support for 500+ AI models
VS Code, JetBrains, and CLI integration
Code Mode for writing and refactoring
Architect Mode for feature planning
Debug Mode for bug identification and fixes
KiloClaw managed AI agents
One-click deploy for KiloClaw agents

Pros

Open source with Apache-2.0 license
Supports a wide range of AI models (500+)
Integrates with popular IDEs and CLI
Offers specialized agent modes for different coding tasks
Provides transparency on prompts and provider rates
Managed agent solution (KiloClaw) simplifies deployment

Cons

AI usage is billed separately for the free Kilo Code agent
Managed KiloClaw and Kilo Pass incur monthly costs
Requires some setup for self-hosted OpenClaw
Enterprise features require contacting sales for pricing

Use Cases

Automated code generation and completion
Refactoring existing codebases
Planning complex software features
Debugging and fixing code errors
Deploying and managing AI agents for continuous tasks
Automating code reviews
Running scheduled development tasks

Best For

Individual developers
Software engineering teams
Developers using VS Code or JetBrains IDEs
Teams adopting agentic engineering workflows

Integrations: VS Code, JetBrains (IntelliJ, PyCharm, WebStorm), Telegram, Discord, Slack, OpenRouter, Vercel, AWS Bedrock, Azure

Platforms: Web, macOS, Windows, Linux, VS Code Extension, JetBrains Plugin, CLI, Telegram, Discord, Slack

Watch demo on YouTube ↗

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