Guidance vs Llama Stack
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | Guidance | Llama Stack |
|---|---|---|
| Deploy effort | Read-the-docs project | Under-an-hour setup |
| Health score | 84 · Excellent | 92 · Excellent |
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | MIT |
| Language | Jupyter Notebook | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 8,192 MB | 4,096 MB |
| Deployment | source | docker, source |
| GitHub stars | ★ 21,776 | ★ 8,437 |
| First released | 2023 | 2024 |
| Replaces | OpenAI API | OpenAI API |
What are Guidance and Llama Stack?
Guidance
Guidance is a programming paradigm from Microsoft for steering language model output with interleaved generation, control flow, and constraints. It can run against locally hosted models to produce reliable structured results.
- Interleaved generation control
- Token healing
- Regex and grammar constraints
- Works with local models
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
Guidance vs Llama Stack: key differences
Guidance is written in Jupyter Notebook, while Llama Stack is built with Python. Llama Stack is the lighter option, starting around 4,096 MB of RAM against 8,192 MB for Guidance. Guidance has the considerably larger community, at 21,776 GitHub stars versus 8,437. Llama Stack lists first-class Docker deployment; Guidance does not.
Why pick each one
Choose Guidance if…
- Precise output control
- Constrained structured generation
- Works with local models
Watch out for
- Paradigm takes learning
- API models limit features
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
Frequently asked questions
Is Guidance or Llama Stack better?
Neither is universally better. Guidance has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Guidance and Llama Stack free and open-source?
Yes. Guidance is licensed under MIT and Llama Stack under MIT. Both can be self-hosted at no software cost.
Can I run Guidance and Llama Stack with Docker?
Guidance: check the project docs for container support. Llama Stack: yes.
Which is lighter on resources, Guidance or Llama Stack?
Llama Stack has the smaller minimum footprint at 4,096 MB of RAM, compared to about 8,192 MB for Guidance. Real-world usage depends on library size, user count, and enabled features.