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Kilo vs Tabby

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.

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Favicon of Kilo

Kilo

Open source AI coding agent with 500+ models, bring-your-own-key support, and specialized modes for writing, debugging, and planning code across IDEs and CLI.
  • Stars


    26,146
  • Forks


    2,895
  • Last commit


    6 hours ago
  • Repository age


    1 year
  • License


    MIT
View Repository
Screenshot of Kilo
Favicon of Tabby

Tabby

Self-hosted AI coding assistant that enhances productivity with context-aware suggestions and privacy-focused implementation.
  • Stars


    33,691
  • Forks


    1,764
  • Last commit


    14 days ago
  • Repository age


    3 years
  • Self-hosted


    Yes
View Repository
Screenshot of Tabby

Detailed Comparison

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.

Comparable
Community & Popularity

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.

Comparable
Development Activity

Both projects show recent activity, with Kilo last updated 6 hours ago and Tabby 14 days ago.

Comparable
Technology Stack

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 wins
Project Maturity

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 wins
Licensing

Kilo is licensed under MIT, while Tabby's license terms are not publicly specified.

Comparable
Use Cases & Features

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 wins
Hosting & Deployment

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