Learn how Kortix and LobeHub differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai agent platforms is best for you.
Last 30 days
Last commit
9 hours agoRepository age
2 yearsVersion
v0.15.1License
Elastic-2.0Self-hosted
YesRepository
kortix-ai/suna
Last 30 days
Last commit
9 hours agoRepository age
3 yearsVersion
v2.3.2License
OtherRepository
lobehub/lobehub
Both Kortix and LobeHub have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
LobeHub significantly outpaces Kortix in community adoption with 84,365 stars compared to 20,543 stars on GitHub. This 4.1x difference suggests LobeHub has a much larger and more active community. In terms of developer contributions, LobeHub has 16,136 forks, indicating strong developer engagement.
Kortix and LobeHub are moving at much the same rate, adding 282 stars and adding 1,284 stars respectively over the last 30 days (+1.4% vs +1.5%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with Kortix last updated 9 hours ago and LobeHub 9 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Next.js. However, they differ in their additional technology choices: Kortix uses Python.
LobeHub has been in development longer, starting 3 years ago, compared to Kortix which began 2 years ago. This 1.4-year head start suggests LobeHub may have more mature features and established processes.
The projects use different licenses: Kortix is licensed under Elastic-2.0 while LobeHub uses Other. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in AI Agent Platforms.
Kortix provides self-hosting options for complete data control and customization, while LobeHub may be primarily cloud-based or require different deployment approaches.