What is the main difference between Happy and Orca?

Happy and Orca are both ai coding agent orchestrators but differ in their approach, features, and target audience. Compare their GitHub stats, technology stack, and community adoption to make the best choice.

Which is better: Happy or Orca?

The choice between Happy and Orca depends on your specific needs, technical requirements, and team preferences. Both are quality open source solutions with active communities.

Can I migrate from Happy to Orca?

Migration between Happy and Orca is possible but requires careful planning. Consider data export/import capabilities, feature parity, and potential workflow changes.

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Happy vs Orca

Learn how Happy and Orca 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.

Happy

Orchestrates Claude Code, Codex, and Grok through a single desktop and mobile app, reusing the AI subscriptions you already pay for.

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24,302stars+83(+0.3%)

Last 30 days

Last commit
13 hours ago
Repository age
1 year
Version
1.2.5
License
MIT
Self-hosted
Yes
Repository
slopus/happy

Orca

Agent Development Environment that runs Claude Code, Codex, Gemini, and other CLI agents in parallel across isolated git worktrees, with terminals, browser, diff review, and git tools built in.

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105,166stars+26,962(+34%)

Last 30 days

Last commit
12 hours ago
Repository age
7 months
Version
v1.4.240
License
MIT
Repository
stablyai/orca

Detailed Comparison

Both Happy and Orca 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.

Orca wins

Community & Popularity

Orca significantly outpaces Happy in community adoption with 105,166 stars compared to 24,302 stars on GitHub. This 4.3x difference suggests Orca has a much larger and more active community. In terms of developer contributions, Orca has 6,645 forks, indicating strong developer engagement.

Orca wins

Growth Momentum

Orca is growing faster, adding 26,962 stars in the last 30 days (+34%) against adding 83 stars for Happy (+0.3%). Orca is both larger and pulling further ahead.

Comparable

Development Activity

Both projects show recent activity, with Happy last updated 13 hours ago and Orca 12 hours ago.

Comparable

Project Maturity

Both projects started around the same time, with Happy beginning 1 year ago and Orca 7 months ago.

Comparable

Licensing

Both projects use the MIT license, providing identical terms for usage and distribution.

Comparable

Use Cases & Features

Both tools serve similar use cases in AI Coding Agent Orchestrators.

Happy wins

Hosting & Deployment

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

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