Learn how AgentOS and Hexabot 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
1 month agoRepository age
2 yearsVersion
v2.2.2License
AGPL-3.0Self-hosted
YesRepository
hexastack/hexabot
Both AgentOS and Hexabot 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.
Hexabot leads in popularity with 1,148 stars vs 683 stars for AgentOS. The 68% higher star count indicates stronger community adoption. In terms of developer contributions, Hexabot has 235 forks, indicating moderate developer engagement.
AgentOS is growing faster, adding 10 stars in the last 30 days (+1.5%) against losing 111 stars for Hexabot (-8.8%). AgentOS is the smaller project of the two, so it is closing the gap rather than extending a lead.
AgentOS shows more recent development activity with its last commit 8 hours ago, while Hexabot was last updated 1 month ago. This suggests AgentOS is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, Typescript. However, they differ in their additional technology choices: Hexabot leverages CSS, Bash, JSX, Next.js, SCSS, NestJS.
Hexabot has been in development longer, starting 2 years ago, compared to AgentOS which began 1 year ago. This 1.1-year head start suggests Hexabot may have more mature features and established processes.
The projects use different licenses: AgentOS is licensed under Apache-2.0 while Hexabot uses AGPL-3.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in AI Agent Platforms. However, they also have distinct specializations: Hexabot extends into Low-Code/No-Code.
Hexabot provides self-hosting options for complete data control and customization, while AgentOS may be primarily cloud-based or require different deployment approaches.