Local LLMs are the future — and here's why I built around them

Hot take: running AI locally in your browser will be more common than cloud AI within 3 years.

Here's why I believe this:

💸 Cloud AI costs are exploding. Every API call costs money — for developers building personal tools, this adds up fast. Local models have zero running cost after download.

🔒 People are losing trust in big AI companies. Your prompts, your data, your conversations — all processed on someone else's servers. With local models, nothing leaves your device. Ever.

⚡ Hardware is catching up fast. WebGPU now lets browsers run 3B–8B parameter models at reasonable speeds. Two years ago this wasn't possible. Two years from now it'll be even better.

This is exactly why I built AgentOp around local model support — using wllama (llama.cpp compiled to WebAssembly) to run models like Llama 3.1, Qwen 2.5, Phi-4, and Gemma 3 entirely in the browser.

No server. No subscription. No data leaving your machine.

Question for the community: Are you already using local LLMs in your workflow? What's stopping you from switching completely?