Learn how AgentOS and ZeroClaw 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
8 hours agoRepository age
1 yearVersion
v0.15.27License
Apache-2.0Repository
framersai/agentos
Last 30 days
Last commit
10 hours agoRepository age
9 monthsVersion
v0.8.6License
Apache-2.0Self-hosted
YesRepository
zeroclaw
Both AgentOS and ZeroClaw 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.
ZeroClaw significantly outpaces AgentOS in community adoption with 33,051 stars compared to 683 stars on GitHub. This 48.4x difference suggests ZeroClaw has a much larger and more active community. In terms of developer contributions, ZeroClaw has 4,987 forks, indicating strong developer engagement.
AgentOS is growing faster, adding 10 stars in the last 30 days (+1.5%) against adding 147 stars for ZeroClaw (+0.4%). 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 8 hours ago and ZeroClaw 10 hours ago.
Both tools share common technology foundations, being built with JavaScript, Typescript. However, they differ in their additional technology choices: ZeroClaw leverages CSS, Bash, JSX, Python, Rust, Tauri.
Both projects started around the same time, with AgentOS beginning 1 year ago and ZeroClaw 9 months 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. However, they also have distinct specializations: ZeroClaw extends into AI Personal Assistants.
ZeroClaw provides self-hosting options for complete data control and customization, while AgentOS may be primarily cloud-based or require different deployment approaches.