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Emdash vs Paseo

Learn how Emdash 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 Emdash

Emdash

AI
Desktop app that runs 25+ coding agents simultaneously, each isolated in its own Git worktree, so you can orchestrate code changes without switching tools.
5,462stars+212(+4%)

Last 30 days

Screenshot of Emdash
Favicon of Paseo

Paseo

AI
Self-hosted orchestrator for coding agents like Claude Code, Codex, and Cursor, controlled from phone, desktop, web, or CLI.
14,582stars+1,229(+9.2%)

Last 30 days

Sponsor Paseo ongithub.com
Screenshot of Paseo

Detailed Comparison

Paseo appears to have several advantages over Emdash, 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 leads in popularity with 14,582 stars vs 5,462 stars for Emdash. The 167% higher star count indicates stronger community adoption. In terms of developer contributions, Paseo has 1,543 forks, indicating strong developer engagement.

Paseo wins
Growth Momentum

Paseo is growing faster, adding 1,229 stars in the last 30 days (+9.2%) against adding 212 stars for Emdash (+4%). Paseo is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with Emdash last updated 24 hours ago and Paseo 16 hours ago.

Comparable
Project Maturity

Both projects started around the same time, with Emdash beginning 1 year ago and Paseo 10 months ago.

Comparable
Licensing

The projects use different licenses: Emdash is licensed under Apache-2.0 while Paseo uses AGPL-3.0. Consider the licensing requirements when choosing for your project.

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 Emdash may be primarily cloud-based or require different deployment approaches.