Learn how Letta and Mem0 differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai memory & context is best for you.
Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both Letta and Mem0 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.
Mem0 significantly outpaces Letta in community adoption with 66,005 stars compared to 3,425 stars on GitHub. This 19.3x difference suggests Mem0 has a much larger and more active community. In terms of developer contributions, Mem0 has 7,759 forks, indicating strong developer engagement.
Letta is growing faster, adding 201 stars in the last 30 days (+6.2%) against adding 1,813 stars for Mem0 (+2.8%). Letta is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Letta last updated 11 hours ago and Mem0 22 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, Python. However, they differ in their additional technology choices: Mem0 leverages JSX, Next.js, SCSS.
Mem0 has been in development longer, starting 3 years ago, compared to Letta which began 11 months ago. This 2.4-year head start suggests Mem0 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 Memory & Context. However, they also have distinct specializations: Letta also focuses on AI Agent Platforms.
Both Letta and Mem0 offer self-hosting capabilities, giving you full control over your data and infrastructure.