# llama.cpp vs ibl.ai/os

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

| | llama.cpp | ibl.ai/os |
|---|---|---|
| Score | 93/100 ✓ | 55/100 |
| Rank in category | #2 of 25 in LLM Inference | #65 of 209 in AI Agents |
| GitHub stars | 132 699 ✓ | 793 |
| Stars, last 30 days | +3 244 ✓ | +0 |
| Stable releases, 12 months | 1467 ✓ | 10 |
| Latest release | b11981 · 29 Oct 2026 ✓ | v0.182.2 · 27 Oct 2026 |
| Setup | Moderate ✓ | Advanced |
| Official Docker image | Yes ✓ | No |
| License | MIT | MIT |
| Main language | C++ | Typescript |

## Which one should you pick?

llama.cpp scores 93/100 against 55/100 for ibl.ai/os, so it is the safer default.

llama.cpp ships more often: 1467 stable releases in the past year, against 10 for ibl.ai/os.

If you want the quickest setup, llama.cpp is easier to run; ibl.ai/os needs more configuration.

llama.cpp is growing faster right now (+3 244 stars in 30 days).

## Details

- [llama.cpp](https://selfhost.directory/project/llamacpp) (markdown: https://selfhost.directory/project/llamacpp.md)
- [ibl.ai/os](https://selfhost.directory/project/os-2) (markdown: https://selfhost.directory/project/os-2.md)

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Source: https://selfhost.directory/compare/llamacpp-vs-os-2