Learn how Dograh and LiveKit 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
12 hours agoRepository age
1 yearVersion
v1.49.0License
BSD-2-ClauseSelf-hosted
YesRepository
dograh-hq/dograh
Last 30 days
Last commit
12 hours agoRepository age
6 yearsVersion
v1.13.11License
Apache-2.0Repository
livekit/livekit
Both Dograh and LiveKit 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.
LiveKit significantly outpaces Dograh in community adoption with 21,822 stars compared to 5,953 stars on GitHub. This 3.7x difference suggests LiveKit has a much larger and more active community. In terms of developer contributions, LiveKit has 2,498 forks, indicating strong developer engagement.
Dograh is growing faster, adding 207 stars in the last 30 days (+3.6%) against adding 692 stars for LiveKit (+3.3%). Dograh is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Dograh last updated 12 hours ago and LiveKit 12 hours ago.
Both tools share common technology foundations, being built with Bash. However, they differ in their additional technology choices: Dograh uses JavaScript, CSS, Typescript, JSX, Python, Next.js while LiveKit leverages Golang.
LiveKit has been in development longer, starting 6 years ago, compared to Dograh which began 1 year ago. This 5.0-year head start suggests LiveKit may have more mature features and established processes.
Dograh uses the BSD-2-Clause license, which is more permissive than LiveKit's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in AI Agent Platforms, Chatbot Platforms.
Dograh provides self-hosting options for complete data control and customization, while LiveKit may be primarily cloud-based or require different deployment approaches.