Learn how Happy 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.
Last 30 days
Last commit
13 hours agoRepository age
1 yearVersion
1.2.5License
MITSelf-hosted
YesRepository
slopus/happy
Last 30 days

Both Happy and Synara 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.
Happy significantly outpaces Synara in community adoption with 24,302 stars compared to 2,137 stars on GitHub. This 11.4x difference suggests Happy has a much larger and more active community. In terms of developer contributions, Happy has 2,083 forks, indicating strong developer engagement.
Synara is growing faster, adding 247 stars in the last 30 days (+13%) against adding 83 stars for Happy (+0.3%). Synara is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Happy last updated 13 hours ago and Synara 18 hours ago.
Both projects started around the same time, with Happy beginning 1 year ago and Synara 7 months ago.
Both projects use the MIT license, providing identical terms for usage and distribution.
Both tools serve similar use cases in AI Coding Agent Orchestrators.
Happy provides self-hosting options for complete data control and customization, while Synara may be primarily cloud-based or require different deployment approaches.