Agent Infrastructure · Head-to-head
Cognee vs Langfuse
Cognee and Langfuse are both agent infrastructure. Cognee is An open-source memory platform that turns documents, code and conversations into a knowledge graph for agents, 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.
An open-source memory platform that turns documents, code and conversations into a knowledge graph for agents.
Visit Cognee →
An open-source LLM engineering platform for tracing, evaluation, prompt management and debugging.
Visit Langfuse →Cognee and Langfuse are both open-source agent infrastructure you can self-host for free. Cognee is written primarily in Python; Langfuse in TypeScript. Neither is universally better — pick by fit.
Side by side
| Spec | Cognee | Langfuse |
|---|---|---|
| Type | Infrastructure | Infrastructure |
| Model | Open source | Open source |
| Pricing | Open source | Open source |
| GitHub stars | 30,933 | 34,954 |
| Language | Python | TypeScript |
| License | Apache-2.0 | MIT |
| Last activity | Sep 2026 | Sep 2026 |
Key differences
- Cognee is written primarily in Python; Langfuse in TypeScript.
- Licensing differs: Cognee is Apache-2.0, Langfuse is MIT.
Agents whose memory should be structured around entities and relationships rather than a flat vector store.
Teams that want production-grade, self-hostable tracing and evals for LLM apps.
About Cognee
Cognee gives AI agents persistent long-term memory by turning documents, code and conversations into a self-hosted knowledge graph they can search and reuse across sessions. It can start locally without an OpenAI or Anthropic key, using local extraction and embedding models, supports custom data models and ontologies, and targets uses from a shared company-wide memory to memory that carries between agent runs.
Full Cognee 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 Cognee and Langfuse?
- Cognee is written primarily in Python; Langfuse in TypeScript.
- Is Cognee or Langfuse better?
- Neither is universally better. Cognee is the stronger fit for Agents whose memory should be structured around entities and relationships rather than a flat vector store; 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 Cognee or Langfuse free?
- Cognee 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, Cognee 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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