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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 llm application frameworks is best for you.

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Favicon of Langfuse

Langfuse

Langfuse provides tracing, evaluations, prompt management, and analytics to debug and improve LLM applications.
  • Stars


    26,065
  • Forks


    2,635
  • Last commit


    9 hours ago
  • Repository age


    3 years
  • Self-hosted


    Yes
View Repository

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Screenshot of Langfuse
Favicon of Supermemory

Supermemory

Add persistent memory to LLM apps with millisecond recall times. Store, retrieve, and personalize user data across sessions with enterprise-grade security.
  • Stars


    22,203
  • Forks


    2,036
  • Last commit


    11 hours ago
  • Repository age


    2 years
  • License


    MIT
  • Self-hosted


    Yes
View Repository

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Screenshot of Supermemory

Detailed Comparison

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.

Comparable
Community & Popularity

Both tools have similar popularity levels, with Langfuse having 26,065 stars and Supermemory having 22,203 stars on GitHub. In terms of developer contributions, Langfuse has 2,635 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with Langfuse last updated 9 hours ago and Supermemory 11 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.

Supermemory wins
Licensing

Supermemory is licensed under MIT, while Langfuse's license terms are not publicly specified.

Comparable
Use Cases & Features

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.

Comparable
Hosting & Deployment

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