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Cline vs Goose

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.

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Favicon of Cline

Cline

AI
AI coding agent that runs inside VS Code and the terminal, supporting multi-file edits, bash execution, and any LLM provider via bring-your-own-key.
69,525stars+2,351(+3.5%)

Last 30 days

Screenshot of Cline
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.
Screenshot of Goose

Detailed Comparison

Both Cline and Goose have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.

Comparable
Community & Popularity

Both tools have similar popularity levels, with Cline having 69,525 stars and Goose having 54,756 stars on GitHub. In terms of developer contributions, Cline has 7,548 forks, indicating strong developer engagement.

Cline wins
Growth Momentum

Cline is growing faster, adding 2,351 stars in the last 30 days (+3.5%) against adding 137 stars for Goose (+0.3%). Cline is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with Cline last updated 10 hours ago and Goose 15 hours ago.

Comparable
Project Maturity

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

Comparable
Licensing

Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.

Comparable
Use Cases & Features

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

Goose wins
Hosting & Deployment

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