Learn how AgentOS and Agno 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
6 hours agoRepository age
4 yearsVersion
v3.1.11License
Apache-2.0Repository
agno-agi/agno
Agno appears to have several advantages over AgentOS, particularly in popularity and maturity. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Agno significantly outpaces AgentOS in community adoption with 42,920 stars compared to 683 stars on GitHub. This 62.8x difference suggests Agno has a much larger and more active community. In terms of developer contributions, Agno has 6,195 forks, indicating strong developer engagement.
AgentOS and Agno are moving at much the same rate, adding 10 stars and adding 566 stars respectively over the last 30 days (+1.5% vs +1.3%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with AgentOS last updated 8 hours ago and Agno 6 hours ago.
AgentOS uses JavaScript, Typescript while Agno leverages Bash, Python.
Agno has been in development longer, starting 4 years ago, compared to AgentOS which began 1 year ago. This 3.5-year head start suggests Agno may have more mature features and established processes.
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: Agno extends into LLM Application Frameworks.