Learn how AgentOS and IronClaw 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
2 days agoRepository age
9 monthsVersion
v1.4.1License
Apache-2.0Self-hosted
YesRepository
nearai/ironclaw
Both AgentOS and IronClaw 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.
IronClaw significantly outpaces AgentOS in community adoption with 12,678 stars compared to 683 stars on GitHub. This 18.6x difference suggests IronClaw has a much larger and more active community. In terms of developer contributions, IronClaw has 1,487 forks, indicating strong developer engagement.
AgentOS is growing faster, adding 10 stars in the last 30 days (+1.5%) against adding 45 stars for IronClaw (+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 IronClaw 2 days ago.
Both tools share common technology foundations, being built with JavaScript, Typescript. However, they differ in their additional technology choices: IronClaw leverages CSS, Bash, JSX, Python, Rust, C.
Both projects started around the same time, with AgentOS beginning 1 year ago and IronClaw 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: IronClaw extends into AI Personal Assistants.
IronClaw provides self-hosting options for complete data control and customization, while AgentOS may be primarily cloud-based or require different deployment approaches.