Toskar vs. Ollama: a model runner or a full AI assistant?

Ollama and Toskar are both free, open source, and run AI models on your own hardware. But they sit at different layers. Ollama is mainly an engine: it downloads models and serves them to code. Toskar is an assistant built on top of an engine, with documents, memory, automations, and apps for your devices.

This comparison reflects both products as of October 2026. Check Ollama's site for its latest.

The short version

• Choose Ollama if you're a developer who wants the simplest way to run a model from a terminal or call it from your own code.
• Choose Toskar if you want a ready-to-use private assistant for yourself, your household, or your office.
• Or use both: Toskar can connect to an Ollama server on another machine and offer its models in chat.

Side by side

	Ollama	Toskar
What it is	A model runner: command line, API, and a desktop app	A private assistant: web interface, desktop app, iPhone app, and API
Price	Free and unlimited locally; paid cloud plans for bigger models	Free; everything runs on your own computers
Source code	Open source	Open source (AGPL-3.0)
API	Its own API, plus OpenAI-compatible endpoints	OpenAI-compatible API, plus an MCP server
Cloud option	Optional cloud models that run in Ollama's data centers	None: models run on your computers, and Toskar lists everything that left them
Picking a model	You choose by name	Recommends models that fit, and Auto picks one per message

On top of the model, Toskar builds in connected documents, memory across chats, automations, and pairing several computers, covered below.

Where Ollama shines

Ollama made local AI easy for developers. One command downloads and runs a model, its API is simple, and a huge ecosystem of apps and libraries supports it. If you're building your own tool, Ollama is a great foundation. Its optional cloud plans also let you reach models far too big for your own hardware, if sending those requests to Ollama's servers is acceptable to you.

Where Toskar is different

Toskar starts where a model runner stops.

• It's an assistant, not just an endpoint. Chat in a browser, the desktop app, or on your iPhone. It looks things up on the web when you allow it, and checks its answers against its sources.
• It knows your material. Connected documents and memory make answers about your work, not just general knowledge.
• It runs on a schedule. Automations handle the checking you'd otherwise do by hand.
• It stays local by design. There's no cloud tier. Anything that does leave your computers, like a web search, is listed, with a 30-day summary.
• It manages the setup. It recommends models for your hardware, installs the runtime, and spreads work over your paired computers.

Using them together

Already running Ollama? In Toskar, open Settings → External server (advanced mode) and point it at your Ollama machine's OpenAI-compatible address. Its models appear in Toskar's model list, marked external. You keep Ollama as your engine and gain Toskar's documents, memory, automations, and apps on top.

Which should you choose?

Developers building their own software will feel at home with Ollama. If you want something you, your family, or your coworkers can simply use, try Toskar, and keep Ollama underneath if you like.

Install Toskar, or first see what your computer can run.