Learn how Kilo and Tabby differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai coding assistants is best for you.
Stars
Forks
Last commit
Repository age
License
Activity score

Stars
Forks
Last commit
Repository age
Self-hosted
Activity score

Both Kilo and Tabby have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with Kilo having 26,146 stars and Tabby having 33,691 stars on GitHub. In terms of developer contributions, Kilo has 2,895 forks, indicating strong developer engagement.
Both projects show recent activity, with Kilo last updated 6 hours ago and Tabby 14 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python, Next.js. However, they differ in their additional technology choices: Kilo uses Golang, PHP while Tabby leverages Rust, Java, C++, Kotlin, Lua.
Tabby has been in development longer, starting 3 years ago, compared to Kilo which began 1 year ago. This 2.0-year head start suggests Tabby may have more mature features and established processes.
Kilo is licensed under MIT, while Tabby's license terms are not publicly specified.
Both tools serve similar use cases in AI Coding Assistants. However, they also have distinct specializations: Kilo also focuses on AI Code Reviewers, IDEs & Code Editors.
Tabby provides self-hosting options for complete data control and customization, while Kilo may be primarily cloud-based or require different deployment approaches.