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Dray vs Paseo

Learn how Dray and Paseo 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 Paseo

Paseo

AI
Self-hosted orchestrator for coding agents like Claude Code, Codex, and Cursor, controlled from phone, desktop, web, or CLI.
19,354stars+3,436(+22%)

Last 30 days

Sponsor Paseo ongithub.com
Screenshot of Paseo

Detailed Comparison

Paseo 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.

Paseo wins
Community & Popularity

Paseo significantly outpaces Dray in community adoption with 19,354 stars compared to 104 stars on GitHub. This 186.1x difference suggests Paseo has a much larger and more active community. In terms of developer contributions, Paseo has 2,266 forks, indicating strong developer engagement.

Paseo wins
Growth Momentum

Paseo is growing faster, adding 3,436 stars in the last 30 days (+22%) against adding 0 stars for Dray (0%). Paseo is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with Dray last updated 2 days ago and Paseo 4 hours ago.

Comparable
Project Maturity

Both projects started around the same time, with Dray beginning 2 months ago and Paseo 1 year 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.

Paseo wins
Hosting & Deployment

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