Local AI for developers.
No Docker. No cloud. No drama.
A desktop AI coding assistant you can run fully offline with Ollama. Your proprietary code never leaves your machine. Double-click to install.
The reality
Most local AI tools for developers require Docker, a working Python environment, a specific Node version, and 45 minutes of configuration before you can ask a single question. That friction kills the workflow before it starts.
How Skales helps
Zero-config local AI. Works offline. Your code stays yours.
Ollama integration - truly local
Connect Skales to Ollama and run Llama 3, Mistral, DeepSeek Coder, or any model locally. Zero network calls, zero API costs, zero proprietary code leaving your machine. Works on M-series Mac and modern Windows PCs.
Debug, refactor, and review
Paste code and ask Skales to find the bug, suggest a refactor, or review the logic. Voice input supported - describe the problem out loud while looking at the screen instead of switching windows.
No Docker, no config hell
Install Skales with a double-click. No Docker, no WSL2 setup, no Node version conflicts, no Python environment to configure. It runs as a desktop app. You open it and it works.
Context-aware development
Skales has persistent memory. It remembers your project context across sessions - the architecture decisions, the constraints, the naming conventions - so you do not re-explain things every time.
Proprietary code stays local
Working on closed-source code under NDA? Skales with Ollama ensures your codebase never leaves your machine. No API call to OpenAI, no data in Anthropic\
Works without internet
On a plane, in a basement, behind a corporate firewall that blocks AI APIs? Skales with Ollama works fully offline. All AI processing happens on your CPU or GPU - no internet required.
“Finally - a local AI I could set up in 5 minutes, not 5 hours. And it actually works offline.”