Llama Stack 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.
| Feature | Llama Stack | openedai-speech |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 92 · Excellent | 13 · At risk |
| Status | Actively maintained | Archived |
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | AGPL-3.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Easy |
| Min. RAM | 4,096 MB | 2,048 MB |
| Deployment | docker, source | docker |
| GitHub stars | ★ 8,437 | ★ 857 |
| First released | 2024 | 2024 |
| Replaces | OpenAI API | OpenAI API, ElevenLabs |
What are Llama Stack and openedai-speech?
Llama Stack
Llama Stack from Meta defines and implements a set of standardized APIs for inference, RAG, agents, safety and evaluation, with multiple provider backends. It can be self-hosted as a unified server for building local generative AI applications.
- Standardized AI APIs
- Pluggable provider backends
- Agents and RAG support
- Self-hostable server
openedai-speech
openedai-speech is a self-hosted text-to-speech server that mimics the OpenAI audio speech API. It uses local models such as Piper and Coqui XTTS to generate audio without sending data to the cloud.
- OpenAI speech API compatible
- Piper and XTTS backends
- Custom voice mapping
- Drop-in replacement
Llama Stack vs openedai-speech: key differences
The biggest difference is maintenance: openedai-speech's repository is archived and no longer developed, while Llama Stack is actively maintained. Both projects are written in Python. Licensing differs — MIT for Llama Stack versus AGPL-3.0 for openedai-speech. Openedai-speech is the lighter option, starting around 2,048 MB of RAM against 4,096 MB for Llama Stack. Llama Stack has the considerably larger community, at 8,437 GitHub stars versus 857.
Why pick each one
Choose Llama Stack if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 8.4k GitHub stars
- Written in Python
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 Llama Stack or openedai-speech better?
Neither is universally better. Llama Stack 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 Llama Stack and openedai-speech free and open-source?
Yes. Llama Stack is licensed under MIT and openedai-speech under AGPL-3.0. Both can be self-hosted at no software cost.
Can I run Llama Stack and openedai-speech with Docker?
Llama Stack: yes. openedai-speech: yes.
Which is lighter on resources, Llama Stack or openedai-speech?
openedai-speech has the smaller minimum footprint at 2,048 MB of RAM, compared to about 4,096 MB for Llama Stack. Real-world usage depends on library size, user count, and enabled features.