Learn how Langfuse and Supermemory differ in their key features, development activity, technology stack and community adoption, so you can decide which of these llm application frameworks is best for you.
Stars
Forks
Last commit
Repository age
Self-hosted
Activity score

Activity score

Both Langfuse and Supermemory have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Both Langfuse and Supermemory show comparable community engagement with 28,921 and 26,748 stars respectively. In terms of developer contributions, Langfuse has 2,996 forks, indicating strong developer engagement.
Both projects show recent activity, with Langfuse last updated 9 hours ago and Supermemory 11 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Typescript, JSX. However, they differ in their additional technology choices: Langfuse uses Bash, Next.js.
Both projects started around the same time, with Langfuse beginning 3 years ago and Supermemory 2 years ago.
Supermemory is licensed under MIT, while Langfuse's license terms are not publicly specified.
Both tools serve similar use cases in LLM Application Frameworks. However, they also have distinct specializations: Langfuse also focuses on AI Integration Platforms while Supermemory extends into Data Platforms for AI.
Both Langfuse and Supermemory offer self-hosting capabilities, giving you full control over your data and infrastructure.