# llama.cpp vs raytsystem

> Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.

| | llama.cpp | raytsystem |
|---|---|---|
| Score | 93/100 ✓ | 38/100 |
| Rank in category | #2 of 25 in LLM Inference | #177 of 209 in AI Agents |
| GitHub stars | 132 669 ✓ | 149 |
| Stars, last 30 days | +3 312 | — |
| Stable releases, 12 months | 1461 ✓ | 0 |
| Latest release | b11972 · 28 Oct 2026 | — |
| Setup | Moderate ✓ | Advanced |
| Official Docker image | Yes ✓ | No |
| License | MIT | Apache-2.0 |
| Main language | C++ | Python |

## Which one should you pick?

llama.cpp scores 93/100 against 38/100 for raytsystem, so it is the safer default.

llama.cpp ships more often: 1461 stable releases in the past year, against 0 for raytsystem.

If you want the quickest setup, llama.cpp is easier to run; raytsystem needs more configuration.

llama.cpp is growing faster right now (+3 312 stars in 30 days).

## Details

- [llama.cpp](https://selfhost.directory/project/llamacpp) (markdown: https://selfhost.directory/project/llamacpp.md)
- [raytsystem](https://selfhost.directory/project/raytsystem-public-os) (markdown: https://selfhost.directory/project/raytsystem-public-os.md)

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Source: https://selfhost.directory/compare/llamacpp-vs-raytsystem-public-os