Ollama
Run open models locally with a simple developer-friendly runtime.
In daily use
Ollama runs open models on your own machine with a single command, and exposes a local HTTP API that most client libraries can talk to unchanged. The significance is not performance but posture: the data never leaves the machine, which resolves the whole class of questions that otherwise blocks using AI on sensitive material. It is also the cheapest way to develop against a model — no per-token cost while you are still getting the prompt wrong. Pair it with a local knowledge base and the loop stays entirely offline.
Best for
- Privacy-sensitive workloads
- Offline inference
- Local development and debugging against a model
Key features
- One command to pull and run an open model
- Local HTTP API compatible with common client libraries
- Runs on consumer hardware including Apple silicon
Why it matters
It makes local inference a one-line operation, which is what makes a local-first AI workflow practical rather than aspirational.
