Langfuse vs OpenClaw
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Langfuse
Open-source observability and analytics for LLM apps
VS
OpenClaw
The AI that actually does things
| Feature | Langfuse | OpenClaw |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | free |
| Language | TypeScript | TypeScript |
| Setup difficulty | Medium | Easy |
| Min. RAM | 2,048 MB | 512 MB |
| Deployment | docker, kubernetes, helm | docker, one-click |
| GitHub stars | ★ 32,717 | ★ 385,509 |
| First released | 2023 | 2022 |
| Replaces | LangSmith | — |
Why pick each one
Choose Langfuse if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 32.7k GitHub stars
Choose OpenClaw if…
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- One-click install on common self-host platforms
- Mature project with 385.5k GitHub stars
Frequently asked questions
Is Langfuse or OpenClaw better?
OpenClaw is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider Langfuse if its specific feature set fits your needs better.
Are Langfuse and OpenClaw free and open-source?
Yes. Langfuse is licensed under MIT and OpenClaw under free. Both can be self-hosted at no software cost.
Can I run Langfuse and OpenClaw with Docker?
Langfuse: yes. OpenClaw: yes.