Learn how Letta and Supermemory 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.

Supermemory appears to have several advantages over Letta, particularly in licensing and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with Letta having 24,262 stars and Supermemory having 28,925 stars on GitHub. In terms of developer contributions, Letta has 2,582 forks, indicating strong developer engagement.
Letta and Supermemory are moving at much the same rate, adding 431 stars and adding 481 stars respectively over the last 30 days (+1.8% vs +1.7%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with Letta last updated 8 hours ago and Supermemory 21 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Typescript. However, they differ in their additional technology choices: Letta uses Bash, Python while Supermemory leverages JSX.
Both projects started around the same time, with Letta beginning 3 years ago and Supermemory 2 years ago.
Supermemory uses the MIT license, which is more permissive than Letta's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in AI Memory & Context. However, they also have distinct specializations: Letta also focuses on AI Agent Platforms.
Supermemory provides self-hosting options for complete data control and customization, while Letta may be primarily cloud-based or require different deployment approaches.

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