Learn how AgentOS and Letta 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
1 yearVersion
v0.34.24License
Apache-2.0Self-hosted
YesRepository
letta-ai/letta-code
Letta appears to have several advantages over AgentOS, particularly in popularity, growth and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Letta significantly outpaces AgentOS in community adoption with 3,718 stars compared to 683 stars on GitHub. This 5.4x difference suggests Letta has a much larger and more active community. In terms of developer contributions, Letta has 453 forks, indicating moderate developer engagement.
Letta is growing faster, adding 286 stars in the last 30 days (+8.3%) against adding 10 stars for AgentOS (+1.5%). Letta is both larger and pulling further ahead.
Both projects show recent activity, with AgentOS last updated 8 hours ago and Letta 6 hours ago.
Both tools share common technology foundations, being built with JavaScript, Typescript. However, they differ in their additional technology choices: Letta leverages CSS, Bash, Python.
Both projects started around the same time, with AgentOS beginning 1 year ago and Letta 1 year 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: Letta extends into AI Memory & Context.
Letta provides self-hosting options for complete data control and customization, while AgentOS may be primarily cloud-based or require different deployment approaches.