# Creatos

> Creatos is a desktop app (macOS and Windows) for working with AI on a visual canvas. You put sources on the canvas (YouTube videos, PDFs, web pages, notes), connect them to AI nodes, and compare cloud models and local models side by side on the same material.

- Price: $69 once, a lifetime license with lifetime updates. No subscription.
- There is no free trial: the app needs a license to open. Purchases are generally non-refundable except where the law requires.
- Models: bring your own API keys for cloud providers such as OpenAI, Anthropic and Google Gemini, and pay them directly for usage. Local models run through Ollama with no key.
- Data stays on your device: projects are stored locally.
- Systems: macOS 12 or later on Apple Silicon (M1 or newer), and Windows 10 or later, 64-bit (beta).
- Support: hello@creatos.io.

## Product
- [Home](https://creatos.io): what Creatos does
- [Pricing](https://creatos.io/pricing): one-time lifetime license
- [Download](https://creatos.io/download): macOS and Windows installers
- [Research canvas example](https://creatos.io/use-cases/research-canvas): a worked example

## Guide
- [AI Nodes](https://creatos.io/docs/ai-nodes): Generate content with AI using the chat interface
- [Browser Nodes](https://creatos.io/docs/browser-nodes): Browse pages inside Creatos and extract readable content
- [Content Nodes](https://creatos.io/docs/content-nodes): Import, write, and edit content in a single node type
- [Flow Editor](https://creatos.io/docs/flow-editor): Build, import, organize, and export canvases in Creatos
- [Welcome to Creatos](https://creatos.io/docs): Official guide for the Creatos desktop app
- [Saved Outputs](https://creatos.io/docs/output-history): Review, search, and manage generated content
- [Quick Start](https://creatos.io/docs/quick-start): Create your first flow in a few minutes
- [Content Library](https://creatos.io/docs/source-library): Save and reuse content across flows
- [Templates](https://creatos.io/docs/templates): Reuse proven flow structures

## Model tests (measured on our own hardware)
- [Ollama KV cache quantization on Mac: q8_0 vs q4_0, measured](https://creatos.io/tests/ollama-kv-cache-quantization-mac): On a 16 GB M4 Mac mini, a q8_0 KV cache halved Ollama's cache with no loss in our answer check and kept 128K mostly on the GPU. q4_0 saved more but got a fact wrong.
- [Why Ollama is slow on a Mac: context length, measured](https://creatos.io/tests/why-ollama-is-slow-on-mac-context-length): On a 16 GB M4 Mac mini, a 128K context length pushed Qwen 3 4B and Llama 3.2 3B partly onto the CPU: up to 39% slower and up to 3.7x longer to the first token.
- [Qwen 3 vs Gemma 3 vs Llama 3.2 on a 16 GB Mac: NASA PDF test](https://creatos.io/tests/qwen3-vs-gemma3-vs-llama32-16gb-mac-nasa-pdf): Three small local models read the same 32-page NASA PDF in Creatos on a 16 GB M4 Mac mini. All three named the right Artemis landers; only Gemma 3 followed the format.

## Free tools
- [Ollama Memory Calculator for Mac (VRAM, Measured)](https://creatos.io/tools/ollama-memory-calculator): How much memory will an Ollama model use on your Mac? Pick a model, context length and RAM to see the GB used and the GPU/CPU split, checked against real runs.

## How-to guides
- [Excalidraw MCP in Claude: setup, a real run, and the alternatives](https://creatos.io/guides/excalidraw-mcp): Add the official Excalidraw MCP to Claude in a minute, see what one real run drew and cost, and compare it with the community server, tldraw and Miro.

## Optional
- [llms-full.txt](https://creatos.io/llms-full.txt): the facts, FAQ and every test summary in one file
- [Blog](https://creatos.io/blog)