Learn how AgentOS and OpenWork 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
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Repository age
Version
License
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

OpenWork appears to have several advantages over AgentOS, particularly in popularity, licensing and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
OpenWork significantly outpaces AgentOS in community adoption with 24,104 stars compared to 678 stars on GitHub. This 35.6x difference suggests OpenWork has a much larger and more active community. In terms of developer contributions, OpenWork has 2,437 forks, indicating strong developer engagement.
AgentOS is growing faster, adding 53 stars in the last 30 days (+8.5%) against adding 570 stars for OpenWork (+2.4%). AgentOS is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with AgentOS last updated 4 hours ago and OpenWork 3 hours ago.
Both tools share common technology foundations, being built with JavaScript, Typescript. However, they differ in their additional technology choices: OpenWork leverages CSS, Bash, JSX, Next.js, Rust, Tauri.
Both projects started around the same time, with AgentOS beginning 1 year ago and OpenWork 9 months ago.
OpenWork uses the MIT 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.
OpenWork provides self-hosting options for complete data control and customization, while AgentOS may be primarily cloud-based or require different deployment approaches.