Learn how AgentOS and Botpress 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
7 hours agoRepository age
1 yearVersion
v0.15.27License
Apache-2.0Repository
framersai/agentos
Last 30 days
Last commit
4 days agoRepository age
10 yearsVersion
v12.30.9License
MITSelf-hosted
YesRepository
botpress/botpress
Botpress appears to have several advantages over AgentOS, particularly in popularity, maturity, licensing and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Botpress significantly outpaces AgentOS in community adoption with 14,970 stars compared to 683 stars on GitHub. This 21.9x difference suggests Botpress has a much larger and more active community. In terms of developer contributions, Botpress has 2,297 forks, indicating strong developer engagement.
AgentOS is growing faster, adding 10 stars in the last 30 days (+1.5%) against adding 46 stars for Botpress (+0.3%). 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 7 hours ago and Botpress 4 days ago.
Both tools share common technology foundations, being built with JavaScript, Typescript. However, they differ in their additional technology choices: Botpress leverages Bash, JSX.
Botpress has been in development longer, starting 10 years ago, compared to AgentOS which began 1 year ago. This 9.1-year head start suggests Botpress may have more mature features and established processes.
Botpress 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. However, they also have distinct specializations: Botpress extends into Chatbot Platforms.
Botpress provides self-hosting options for complete data control and customization, while AgentOS may be primarily cloud-based or require different deployment approaches.