
Local AI means running AI models directly on your device instead of in the cloud. Your prompts are processed by a local LLM on your machine — nothing is sent to external servers. Sigma builds local AI into the browser, so there's no separate app or complex setup: download a model once, and it works in every tab.





Cloud AI sends every prompt to someone else's servers. Local AI keeps them on your machine — no accounts, no logging, no network dependency. Here's why that matters.
A self-hosted AI right in your browser: prompts, pages, and files are processed on-device. No cloud, no logging, no data collection.
Turn off Wi-Fi and keep working. Ask questions, summarize pages, and draft text with a local AI model — no connection required.
Download local AI models right in the browser or connect your own via API key. Local AI setup takes a minute, not an evening.
Sigma's code is open, and local AI runs at no cost — no per-request fees, no subscriptions, no limits set by a provider.
What people actually run on local AI models in Sigma — and everything below keeps working even with the internet off.
Ask a local AI assistant about finance, legal, or health topics. Sensitive conversations stay on your device — nothing is logged or sent anywhere.
Run Sigma's browser agent on a local model: automate web tasks and fill forms in Private Mode, without cloud processing.
Summarize any page, draft replies, and rewrite text with a local LLM — even with no internet connection.
Review documents and extract key details locally. Contracts, reports, and personal files never leave your machine.

Get Sigma for macOS, Windows, iOS, or Android — free, no account needed.

Download a local LLM right in the browser, or connect your own model via API key. Local AI setup takes about a minute.

Use your local model in AI Chat, on any page, or with the agent — online or offline.
Both have their place — here's the honest comparison.

In Sigma you don't have to choose — switch between local AI models and cloud models anytime. Run everyday and sensitive tasks on a local LLM, and call a cloud model when you need maximum reasoning power.
