AGmindvsllama.cpp
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| AGmind | llama.cpp | |
|---|---|---|
| Score | 41/100 | 93/100 |
| Rank in category | #97 of 125 in AI | #2 of 25 in LLM Inference |
| GitHub stars | 48 | 132 646 |
| Stars, last 30 days | — | +3 289 |
| Stable releases, 12 months | 3 | 1457 |
| Latest release | v3.2.0 · 20 May 2026 | b11968 · 28 Oct 2026 |
| Setup | Advanced | Moderate |
| Official Docker image | No | Yes |
| License | Other | MIT |
| Main language | Shell | C++ |
Which one should you pick?
llama.cpp scores 93/100 against 41/100 for AGmind, so it is the safer default.
llama.cpp ships more often: 1457 stable releases in the past year, against 3 for AGmind.
If you want the quickest setup, llama.cpp is easier to run; AGmind needs more configuration.
llama.cpp is growing faster right now (+3 289 stars in 30 days).
AGmind details →llama.cpp details →
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