OllamavstaOS
Two self-hosted projects, compared on the numbers selfhost.directory tracks live: score, popularity, release cadence and setup effort.
| Ollama | taOS | |
|---|---|---|
| Score | 95/100 | 49/100 |
| Rank in category | #1 of 25 in LLM Inference | #104 of 209 in AI Agents |
| GitHub stars | 185 150 | 582 |
| Stars, last 30 days | +3 497 | +0 |
| Stable releases, 12 months | 51 | 1 |
| Latest release | v0.40.13 · 28 Oct 2026 | bundle-latest · 21 Jun 2026 |
| Setup | Easy | Moderate |
| Official Docker image | Yes | No |
| License | MIT | AGPL-3.0 |
| Main language | Go | Python |
Which one should you pick?
Ollama scores 95/100 against 49/100 for taOS, so it is the safer default.
Ollama ships more often: 51 stable releases in the past year, against 1 for taOS.
If you want the quickest setup, Ollama is easier to run; taOS needs more configuration.
Ollama is growing faster right now (+3 497 stars in 30 days).
Ollama details →taOS details →