Ollama vs uzu
Run Llama, Mistral and other open models locally with a single command and a clean API. — versus — Rust inference engine for on-device AI on Apple Silicon (Metal, unified memory) with Swift, Python and TS bindings, OpenAI-compatible server and a TypeSafe System One decision-model API.
Both run open models locally behind an OpenAI-compatible server; Ollama is the general-purpose daemon, uzu is meant to be embedded in your app via native bindings.
| Ollama | uzu | |
|---|---|---|
| Stars | 186k | 3.2k |
| Forks | 19k | 221 |
| Language | Go | Rust |
| License | MIT | MIT |
| Last activity | yesterday | yesterday |
| Topics | local | local, decision-models |
| Curated connections | 32 | 5 |
Ollama — the curator's take
Run Llama, Mistral and other open models locally with a single command and a clean API.
uzu — the curator's take
Pick it when you are shipping an iOS/macOS app and want a local LLM embedded in-process — Swift Package, structured output, tool calls, and a cloud fallback through the same API. Not for NVIDIA/Linux serving (Metal and CPU only) or bring-your-own GGUF: models need its own format, converted with lalamo.