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Orca vs Synara

Learn how Orca and Synara 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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Orca

AI
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.
118,795stars+30,285(+34%)

Last 30 days

  • Last commit

    9 hours ago
  • Repository age

    8 months
  • Version

    v1.4.253
  • License

    MIT
  • Repository

    stablyai/orca
Screenshot of Orca

Synara

AI
Desktop coding workspace that connects to AI subscriptions you already have, with parallel agents, worktrees, one-click PRs, and multi-project management.
2,189stars+116(+5.6%)

Last 30 days

  • Last commit

    19 hours ago
  • Repository age

    8 months
  • Version

    v1.1.0
  • License

    MIT
  • Repository

    synara
Screenshot of Synara

Detailed Comparison

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

Orca wins
Community & Popularity

Orca significantly outpaces Synara in community adoption with 118,795 stars compared to 2,189 stars on GitHub. This 54.3x difference suggests Orca has a much larger and more active community. In terms of developer contributions, Orca has 7,541 forks, indicating strong developer engagement.

Orca wins
Growth Momentum

Orca is growing faster, adding 30,285 stars in the last 30 days (+34%) against adding 116 stars for Synara (+5.6%). Orca is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with Orca last updated 9 hours ago and Synara 19 hours ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Typescript, JSX. However, they differ in their additional technology choices: Orca uses Bash, Python, Swift, Ruby, Kotlin.

Comparable
Project Maturity

Both projects started around the same time, with Orca beginning 8 months ago and Synara 8 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.