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

Both Langfuse and Supermemory 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.
Both tools have similar popularity levels, with Langfuse having 33,579 stars and Supermemory having 29,010 stars on GitHub. In terms of developer contributions, Langfuse has 3,621 forks, indicating strong developer engagement.
Langfuse is growing faster, adding 1,777 stars in the last 30 days (+5.6%) against adding 420 stars for Supermemory (+1.5%). Langfuse is both larger and pulling further ahead.
Both projects show recent activity, with Langfuse last updated 12 hours ago and Supermemory 12 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.
Both projects use the MIT license, providing identical terms for usage and distribution.
Langfuse also focuses on LLM Observability & Evaluation while Supermemory extends into AI Memory & Context.
Both Langfuse and Supermemory offer self-hosting capabilities, giving you full control over your data and infrastructure.