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STILL: Less Noise, More Stillness | Building a Local-First AI Assistant with Gemma 3

A developer built STILL, a local-first AI assistant that sorts messy notes, unfinished tasks and meeting summaries into four buckets — Act, Keep, Rest and Archive — to help users declutter their digital lives. The app runs Gemma 3 locally through Ollama, paired with Next.js, TypeScript, Bun, Tailwind CSS and GSAP, so sensitive notes stay on the user's machine instead of going to paid proprietary APIs. It was submitted to the Hacktoberfest Open-Source AI Challenge Week 3.

by read1 min views6 publishedOct 24, 2026

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Meet STILL, a local-first AI assistant that helps you declutter your digital life.

Feed it messy notes, unfinished tasks, or meeting summaries, and let AI organize them into four categories: Act, Keep, Rest, and Archive.

The goal? Spend less time organizing your thoughts and more time on what actually matters.

Built with Next.js, TypeScript, Bun, Tailwind CSS, and GSAP, with Gemma 3 running through Ollama for local AI inference.

Gemma 3 analyzes notes, identifies potential priorities, detects overlapping information, and suggests what can wait.

Personal notes can contain sensitive thoughts and unfinished work. Running Gemma 3 locally gives users more control over their data and reduces dependence on paid, proprietary AI APIs.

Open-weight models also let developers experiment with model configurations and build AI tools on their own terms.

Instead of manually sorting every unfinished thought, let STILL help you find the few things worth your attention.

Not another AI that gives you more work. An AI that helps you do less.

Built for Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady.

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