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Dray vs Jean

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

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Favicon of Dray

Dray

AI
A Mac app that brings multiple AI coding agents into a single window, running on your existing subscriptions with parallel agent sessions, PR management, and a built-in browser.
Sponsor Dray onpatreon.com
Screenshot of Dray
Favicon of Jean

Jean

AI
Run multiple AI coding agents in isolated Git worktrees, with cross-repo context, GitHub/Linear integrations, and support for Claude, Codex, Cursor, and more.
1,305stars+52(+4.2%)

Last 30 days

Sponsor Jean ongithub.com
Screenshot of Jean

Detailed Comparison

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

Jean wins
Community & Popularity

Jean significantly outpaces Dray in community adoption with 1,305 stars compared to 104 stars on GitHub. This 12.5x difference suggests Jean has a much larger and more active community. In terms of developer contributions, Jean has 161 forks, indicating moderate developer engagement.

Jean wins
Growth Momentum

Jean is growing faster, adding 52 stars in the last 30 days (+4.2%) against adding 0 stars for Dray (0%). Jean is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with Dray last updated 2 days ago and Jean 1 day ago.

Comparable
Project Maturity

Both projects started around the same time, with Dray beginning 2 months ago and Jean 8 months 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 Agent Orchestrators.

Jean wins
Hosting & Deployment

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