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Summary: Kilo AI is an AI-powered coding platform designed to help developers build, edit, debug, and manage software projects using AI agents. It supports agentic coding workflows, allowing users to describe tasks in natural language and let AI assist with code generation, project changes, debugging, and development activities. It is designed for individual developers and engineering teams who want to accelerate software development and work with different AI models and coding tools.

What is Kilo AI?

Kilo AI is an open-source AI coding agent platform that helps developers plan, write, debug, refactor, and review software. It brings AI-assisted development into multiple environments, including VS Code, JetBrains IDEs, the command line, and cloud-based workspaces.

The platform is designed to support agentic software development, where users describe tasks in natural language and AI agents work across project files and development tools. Its specialized agents include Code, Plan, Ask, and Debug modes, helping developers move from understanding a project to implementing and troubleshooting changes.

One of Kilo's key strengths is its model flexibility. It provides access to more than 500 AI models, supports bring-your-own-key (BYOK) configurations, and allows developers to use local models. Its Gateway provides a unified way to access models from multiple providers, with pricing based on provider rates rather than an additional inference markup.

Kilo also supports cloud agents, automated code reviews, parallel agent workflows, codebase indexing, and integrations with tools such as Slack. Developers can start tasks in one environment and continue working across supported interfaces, while cloud agents can handle longer-running tasks without using local machine resources.

The platform is available through a VS Code extension, JetBrains plugin, CLI, cloud interface, and a desktop application currently listed as beta. Its core coding agent is open source under the MIT license, making it suitable for developers who want to inspect, customize, or extend their AI development tools.

Key Features

AI Code Generation: Generate and modify code across project files using natural-language instructions.
Specialized AI Agents: Use Code, Plan, Ask, and Debug agents for different software development tasks.
Multi-Model Support: Access more than 500 AI models from different providers.
Codebase Understanding: Search and retrieve relevant project context through codebase indexing.
AI Debugging: Investigate errors, trace bugs, and assist with fixing code issues.
Cloud AI Agents: Run development tasks remotely without consuming local computing resources.
Automated Code Reviews: Analyze pull requests and identify potential bugs and improvements.
IDE and CLI Integration: Work through VS Code, JetBrains IDEs, and terminal environments.
Model Gateway: Access multiple AI model providers through a unified interface.
Open-Source Customization: Inspect, modify, and extend the MIT-licensed coding agent.

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Best AI Coding Agents AI Tools & Software (2026)

KiloClaw