Learn how AgentOS and Dograh 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
10 hours agoRepository age
1 yearVersion
v0.15.27License
Apache-2.0Repository
framersai/agentos
Last 30 days
Last commit
24 hours agoRepository age
1 yearVersion
v1.49.0License
BSD-2-ClauseSelf-hosted
YesRepository
dograh-hq/dograh
Dograh appears to have several advantages over AgentOS, particularly in popularity, growth, licensing and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Dograh significantly outpaces AgentOS in community adoption with 5,964 stars compared to 683 stars on GitHub. This 8.7x difference suggests Dograh has a much larger and more active community. In terms of developer contributions, Dograh has 1,526 forks, indicating strong developer engagement.
Dograh is growing faster, adding 209 stars in the last 30 days (+3.6%) against adding 10 stars for AgentOS (+1.5%). Dograh is both larger and pulling further ahead.
Both projects show recent activity, with AgentOS last updated 10 hours ago and Dograh 24 hours ago.
Both tools share common technology foundations, being built with JavaScript, Typescript. However, they differ in their additional technology choices: Dograh leverages CSS, Bash, JSX, Python, Next.js.
Both projects started around the same time, with AgentOS beginning 1 year ago and Dograh 1 year ago.
Dograh uses the BSD-2-Clause license, which is more permissive than AgentOS's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in AI Agent Platforms. However, they also have distinct specializations: Dograh extends into Chatbot Platforms.
Dograh provides self-hosting options for complete data control and customization, while AgentOS may be primarily cloud-based or require different deployment approaches.