llama.cppvsopenclaw-coolify
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| llama.cpp | openclaw-coolify | |
|---|---|---|
| Score | 93/100 | 43/100 |
| Rank in category | #2 of 25 in LLM Inference | #153 of 209 in AI Agents |
| GitHub stars | 132 699 | 154 |
| Stars, last 30 days | +3 244 | +0 |
| Stable releases, 12 months | 1467 | 0 |
| Latest release | b11981 · 29 Oct 2026 | — |
| Setup | Moderate | Advanced |
| Official Docker image | Yes | No |
| License | MIT | — |
| Main language | C++ | Shell |
Which one should you pick?
llama.cpp scores 93/100 against 43/100 for openclaw-coolify, so it is the safer default.
llama.cpp ships more often: 1467 stable releases in the past year, against 0 for openclaw-coolify.
If you want the quickest setup, llama.cpp is easier to run; openclaw-coolify needs more configuration.
llama.cpp is growing faster right now (+3 244 stars in 30 days).
llama.cpp details →openclaw-coolify details →