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Goose vs Kilo

Learn how Goose and Kilo differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai coding agents is best for you.

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Favicon of Goose

Goose

AI
Local AI agent with a desktop app, CLI, and API that connects to 15+ LLM providers and 70+ extensions for code, research, automation, and data tasks.
55,427stars+808(+1.5%)

Last 30 days

Screenshot of Goose
Favicon of Kilo

Kilo

AI
Open source AI coding agent with 500+ models, bring-your-own-key support, and specialized modes for writing, debugging, and planning code across IDEs and CLI.
27,656stars+294(+1.1%)

Last 30 days

Screenshot of Kilo

Detailed Comparison

Goose appears to have several advantages over Kilo, particularly in popularity, growth and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.

Goose wins
Community & Popularity

Goose leads in popularity with 55,427 stars vs 27,656 stars for Kilo. The 100% higher star count indicates stronger community adoption. In terms of developer contributions, Goose has 6,462 forks, indicating strong developer engagement.

Goose wins
Growth Momentum

Goose is growing faster, adding 808 stars in the last 30 days (+1.5%) against adding 294 stars for Kilo (+1.1%). Goose is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with Goose last updated 11 hours ago and Kilo 13 hours ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python. However, they differ in their additional technology choices: Goose uses Rust, Kotlin while Kilo leverages Next.js, Golang, PHP.

Comparable
Project Maturity

Both projects started around the same time, with Goose beginning 2 years ago and Kilo 2 years ago.

Kilo wins
Licensing

Kilo uses the MIT license, which is more permissive than Goose's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.

Comparable
Use Cases & Features

Both tools serve similar use cases in AI Coding Agents. However, they also have distinct specializations: Goose also focuses on AI Agent Platforms.

Goose wins
Hosting & Deployment

Goose provides self-hosting options for complete data control and customization, while Kilo may be primarily cloud-based or require different deployment approaches.