Local AI Needs to be the Norm · unix.foo

Own your AI with local models and open protocols | Tiles Blog

A Local-First Conf talk about local models, open protocols, and user-owned AI.

Why and How to Run Local Models in Zed

From the Zed Blog: You can run local AI models in Zed to get better performance and control over your data. Here's how.

Nobodywho Local AI

Nobodywho runs AI models on your devices and servers. Open-source SDKs for Python, Kotlin, Swift, Flutter, React Native and Godot.

Where are the local AI apps?

Millions build AI apps with natural language, but local AI deployment remains  complex. Why?

apfel - Your Mac Already Has AI

Your Mac already has AI. Apple ships a language model with macOS -apfel unlocks it with one brew install. No downloads, no API keys, no config. The fastest path to local AI.

View @Jefflau's post on Firefly

I think what's interesting is that the desire for local AI may inadvertently create a lot more local node users. It's a fraction of the actual compute local AI needs and just requires a decent amount of disk space.

instavm/coderunner

A local sandbox for your AI agents

Running local models is good now

Local agentic coding has gotten great over the past few months

'AI' Sucks the Joy Out of Programming

I’ve used spicy auto-complete, as well as agents running in my IDE, in my CLI, or on GitHub’s server-side. I’ve been experimenting enough with LLM/AI-driven programming to have an opinion on it. And it kind of sucks.

Locally AI - Run AI models locally on your iPhone, iPad, and Mac.

Run Llama, Gemma, Qwen, DeepSeek, and more on your iPhone, iPad, and Mac. Optimized for Apple Silicon. Offline. Private.

ai-gh.user.js

ai-gh.user.js · GitHub

LocalAI

The free, OpenAI, Anthropic alternative. Your All-in-One Complete AI Stack

Introducing Unsloth Studio | Unsloth Documentation

Run and train AI models locally with Unsloth Studio.