Learn how Cline and Goose 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.
Last 30 days
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Repository age
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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both Cline and Goose have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with Cline having 70,533 stars and Goose having 55,427 stars on GitHub. In terms of developer contributions, Cline has 7,706 forks, indicating strong developer engagement.
Cline is growing faster, adding 1,754 stars in the last 30 days (+2.6%) against adding 808 stars for Goose (+1.5%). Cline is both larger and pulling further ahead.
Both projects show recent activity, with Cline last updated 14 hours ago and Goose 12 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python. However, they differ in their additional technology choices: Cline uses Ruby while Goose leverages Rust, Kotlin.
Both projects started around the same time, with Cline beginning 2 years ago and Goose 2 years ago.
Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in AI Coding Agents. However, they also have distinct specializations: Goose extends into AI Agent Platforms.
Goose provides self-hosting options for complete data control and customization, while Cline may be primarily cloud-based or require different deployment approaches.
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