Langflow vs openedai-speech
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?
Langflow
Visual framework for building AI agents and RAG pipelines
VS
openedai-speech
OpenAI-compatible text-to-speech server using local models
| Feature | Langflow | openedai-speech |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | AGPL-3.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Easy |
| Min. RAM | 2,048 MB | 2,048 MB |
| Deployment | docker, kubernetes, bare-metal | docker |
| GitHub stars | ★ 152,941 | ★ 860 |
| First released | 2023 | 2024 |
| Replaces | Vertex AI Agent Builder | OpenAI API, ElevenLabs |
Why pick each one
Choose Langflow if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 152.9k GitHub stars
Choose openedai-speech if…
- Released under the AGPL-3.0 license
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- Written in Python
Frequently asked questions
Is Langflow or openedai-speech better?
Neither is universally better. Langflow has the larger community, while openedai-speech is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are Langflow and openedai-speech free and open-source?
Yes. Langflow is licensed under MIT and openedai-speech under AGPL-3.0. Both can be self-hosted at no software cost.
Can I run Langflow and openedai-speech with Docker?
Langflow: yes. openedai-speech: yes.