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Langfuse vs Supermemory

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.

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Favicon of Langfuse

Langfuse

AI
Langfuse provides tracing, evaluations, prompt management, and analytics to debug and improve LLM applications.
33,579stars+1,777(+5.6%)

Last 30 days

Screenshot of Langfuse
Favicon of Supermemory

Supermemory

AI
Add persistent memory to LLM apps with millisecond recall times. Store, retrieve, and personalize user data across sessions with enterprise-grade security.
29,010stars+420(+1.5%)

Last 30 days

Screenshot of Supermemory

Detailed Comparison

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.

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Community & Popularity

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 wins
Growth Momentum

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.

Comparable
Development Activity

Both projects show recent activity, with Langfuse last updated 12 hours ago and Supermemory 12 hours ago.

Comparable
Technology Stack

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.

Comparable
Project Maturity

Both projects started around the same time, with Langfuse beginning 3 years ago and Supermemory 2 years ago.

Comparable
Licensing

Both projects use the MIT license, providing identical terms for usage and distribution.

Comparable
Use Cases & Features

Langfuse also focuses on LLM Observability & Evaluation while Supermemory extends into AI Memory & Context.

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Hosting & Deployment

Both Langfuse and Supermemory offer self-hosting capabilities, giving you full control over your data and infrastructure.