Llama MacOS Desktop Controller
Let Llama take over your desktop
Llama MacOS Desktop Controller launched on April 11, 2025 with 102 votes, #478 of 7,818 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Shoutout Llamastack x 8VC challenge - WashU This is a React and Flask-based app that processes natural language commands to execute macOS system actions using Python code generated by an LLM.
let llama destroy your os. Contribute to duduyiq2001/llama-desktop-controller development by creating an account on GitHub.
MacOS LLM Controller is a desktop application that allows users to execute macOS system commands using natural language input. It leverages a React-based frontend and a Flask-based backend integrated with LlamaStack to generate and execute Python code for macOS API calls. export INFERENCE_MODEL= " meta-llama/Llama-3.2-3B-Instruct " # Ollama names this model differently, and we must use the Ollama name when loading the model export OLLAMA_INFERENCE_MODEL= " llama3.2:3b-instruct-fp16 " Running the Model with Ollama Start the Ollama inference server with a 60-minute keepalive: export LLAMA_STACK_PORT=5001 docker run \ -it \ -p $LLAMA_STACK_PORT : $LLAMA_STACK_PORT \ -v ~ /.llama:/root/.llama \…from github.com
Does a similar job
all alternatives →

Ollama – Run LLMs on your Mac2023 · github.com · ▲284Hi HN A few folks and I have been working on this project for a couple weeks now. After previously working on the Docker project for a number of years (both on the container runtime and image registry side), the recent rise in open source language models made us think something similar needed to exist for large language models too. While not exactly the same as running linux containers, running LLMs shares quite a few of the same challenges. There are "base layers" (e.g. models like Llama 2), specific configuration to run correctly (parameters, temperature, context window sizes etc). There's…



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