Ollama
Ollama provides the easiest way to build with and automate your work using open models, allowing you to run them locally or scale with cloud access. It offers access to faster, larger models on datacenter-grade hardware and ensures your data remains private.
Visit OllamaExternal link — opens ollama.com in a new tab. Ollama is a third-party product; we are not affiliated with it.
Link checked 19 September 2026: this site responded and still names the product.
About Ollama
What it is
Ollama runs open language models locally through a single command. It handles downloading, setup and serving, exposes a local API other software can point at, and now offers a desktop interface alongside the command line.
Why it's different
It reduced running a local model to one command, which is genuinely why local models became usable for ordinary developers, and its API compatibility means a great deal of existing software works against it with only the address changed. It is free and open. The constraints are the ones every local setup has: your hardware sets the ceiling, a laptop-sized model is clearly weaker than a hosted frontier one, and it remains developer-oriented enough that the command line is the main path.
How people use it
Running models locally for privacy or offline use. Development against a local model before paying for an API. Serving a model to other applications on your machine. Match the model size to your memory rather than to the benchmarks, because a model that does not fit will either refuse to run or crawl.
Step by step
- Install it, then run ollama run llama3.2 in a terminal. The first run downloads the model, so expect a wait proportional to its size.
- Check your memory before choosing a model. As a rough rule the download size is close to the RAM it needs, and one that does not fit will crawl or refuse to start.
- Run the largest model your machine holds rather than the smallest that starts. Most disappointment with local AI comes from judging it on a tiny model picked for speed.
- Leave it running and point other software at localhost on port 11434. A great deal of existing tooling works against it with only the address changed.
- Use ollama list to see what you have downloaded and ollama rm to delete one, because models are large and accumulate silently.
Written by the n3os team. We are not affiliated with Ollama.
This listing was written from public information, without Ollama’s involvement. If you own it and something here is wrong — or you would rather not be listed at all — email us and we will correct or remove it.
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