Agent Infrastructure · Head-to-head
Graphiti vs Langfuse
Graphiti and Langfuse are both agent infrastructure. Graphiti is A framework for building temporal context graphs that give AI agents memory of how facts change, while Langfuse is an open-source LLM engineering platform for tracing, evaluation, prompt management and debugging. Here's an independent, side-by-side look at how they compare — and which fits.
A framework for building temporal context graphs that give AI agents memory of how facts change.
Visit Graphiti →
An open-source LLM engineering platform for tracing, evaluation, prompt management and debugging.
Visit Langfuse →Graphiti and Langfuse are both open-source agent infrastructure you can self-host for free. Graphiti is written primarily in Python; Langfuse in TypeScript. Neither is universally better — pick by fit.
Side by side
| Spec | Graphiti | Langfuse |
|---|---|---|
| Type | Infrastructure | Infrastructure |
| Model | Open source | Open source |
| Pricing | Open source | Open source |
| GitHub stars | 31,089 | 34,954 |
| Language | Python | TypeScript |
| License | Apache-2.0 | MIT |
| Last activity | Sep 2026 | Sep 2026 |
Key differences
- Graphiti is written primarily in Python; Langfuse in TypeScript.
- Licensing differs: Graphiti is Apache-2.0, Langfuse is MIT.
Agents whose memory must reflect changing facts, such as customer or project state over time.
Teams that want production-grade, self-hostable tracing and evals for LLM apps.
About Graphiti
Graphiti, from Zep, builds and queries temporal context graphs for AI agents. Unlike static knowledge graphs it tracks how facts change over time, keeps provenance to source data and supports prescribed and learned ontologies, integrating user interactions and structured and unstructured data incrementally. It works with graph databases including Neo4j, FalkorDB, Kuzu and Amazon Neptune; Zep offers a managed service built on it.
Full Graphiti profile →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 →Frequently asked
- What's the main difference between Graphiti and Langfuse?
- Graphiti is written primarily in Python; Langfuse in TypeScript.
- Is Graphiti or Langfuse better?
- Neither is universally better. Graphiti is the stronger fit for Agents whose memory must reflect changing facts, such as customer or project state over time; Langfuse for Teams that want production-grade, self-hostable tracing and evals for LLM apps. Use the side-by-side specs to decide by your own constraints.
- Is Graphiti or Langfuse free?
- Graphiti is free to run and self-host; Langfuse 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, Graphiti or Langfuse?
- By GitHub stars — a proxy for open-source adoption — Langfuse is ahead (35k vs 31k). Stars measure attention, not necessarily the better fit for you.
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