Learn how AgentOS and Omnara 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
8 hours agoRepository age
1 yearVersion
v0.2.12License
Apache-2.0Self-hosted
YesRepository
omnara-ai/omnara
Omnara appears to have several advantages over AgentOS, particularly in popularity, growth and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Omnara significantly outpaces AgentOS in community adoption with 3,294 stars compared to 683 stars on GitHub. This 4.8x difference suggests Omnara has a much larger and more active community. In terms of developer contributions, Omnara has 254 forks, indicating moderate developer engagement.
Omnara is growing faster, adding 413 stars in the last 30 days (+14%) against adding 10 stars for AgentOS (+1.5%). Omnara is both larger and pulling further ahead.
Both projects show recent activity, with AgentOS last updated 10 hours ago and Omnara 8 hours ago.
Both tools share common technology foundations, being built with JavaScript, Typescript. However, they differ in their additional technology choices: Omnara leverages CSS, Bash, JSX, Golang, C.
Both projects started around the same time, with AgentOS beginning 1 year ago and Omnara 1 year ago.
Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in AI Agent Platforms.
Omnara provides self-hosting options for complete data control and customization, while AgentOS may be primarily cloud-based or require different deployment approaches.