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Agent Infrastructure · Head-to-head

Langfuse vs mem0

Langfuse and mem0 are both agent infrastructure. Langfuse is An open-source LLM engineering platform for tracing, evaluation, prompt management and debugging, while mem0 is universal memory layer for AI Agents. Here's an independent, side-by-side look at how they compare — and which fits.

Langfuse

Infrastructure· Open source

An open-source LLM engineering platform for tracing, evaluation, prompt management and debugging.

Visit Langfuse
mem0

Infrastructure· Open source

Universal memory layer for AI Agents

Visit mem0

Bottom line

Langfuse and mem0 are both open-source agent infrastructure you can self-host for free. mem0 has wider GitHub adoption — 66k stars vs 35k. Neither is universally better — pick by fit.

Side by side

SpecLangfusemem0
TypeInfrastructureInfrastructure
ModelOpen sourceOpen source
PricingOpen sourceOpen source
GitHub stars34,95465,865
LanguageTypeScriptPython
LicenseMITApache-2.0
Last activitySep 2026Sep 2026

Key differences

  • mem0 has wider GitHub adoption — 66k stars vs 35k.
  • Langfuse is written primarily in TypeScript; mem0 in Python.
  • Licensing differs: Langfuse is MIT, mem0 is Apache-2.0.

Choose Langfuse if

Teams that want production-grade, self-hostable tracing and evals for LLM apps.

Choose mem0 if

Adding a persistent memory layer to agents across sessions and users.

About Langfuse

Langfuse helps teams develop, monitor, evaluate and debug AI applications: it ingests traces of LLM calls, retrieval, embeddings and agent actions, runs evaluations, manages prompts and datasets, and integrates with the major LLM SDKs and frameworks. It can be self-hosted or used as Langfuse Cloud, and has been part of ClickHouse since January 2026. Most of the code is MIT-licensed; enterprise directories carry a separate licence.

Full Langfuse profile →

About mem0

Universal memory layer for AI Agents

Full mem0 profile →

Frequently asked

What's the main difference between Langfuse and mem0?
mem0 has wider GitHub adoption — 66k stars vs 35k.
Is Langfuse or mem0 better?
Neither is universally better. Langfuse is the stronger fit for Teams that want production-grade, self-hostable tracing and evals for LLM apps; mem0 for Adding a persistent memory layer to agents across sessions and users. Use the side-by-side specs to decide by your own constraints.
Is Langfuse or mem0 free?
Langfuse is free to run and self-host; mem0 is free to run and self-host. Both are free to self-host — you only pay for the infrastructure and any model or API usage.
Which is more popular, Langfuse or mem0?
By GitHub stars — a proxy for open-source adoption — mem0 is ahead (66k vs 35k). Stars measure attention, not necessarily the better fit for you.
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