amurgola

LumaBrowser — AI skill for Claude Code

AI community

Local AI desktop app: a Chromium browser with a GPU-aware llama.cpp runtime, OpenAI-compatible API, AI chat and agents, Stable Diffusion image/video, TTS and music, plus an MCP server so Claude Code.

How to install LumaBrowser

This entry records only its repository, not the path inside it, so there is no exact command to give. Open amurgola/LumaBrowser and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What LumaBrowser does

Local AI desktop app: a Chromium browser with a GPU-aware llama.cpp runtime, OpenAI-compatible API, AI chat and agents, Stable Diffusion image/video, TTS and music, plus an MCP server so Claude Code, Codex and Cline can drive your browser. Windows, macOS, Linux.

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README

LumaBrowser

Your local AI stack in one app.
A web browser with a GPU-aware LLM runtime, chat and agents, local image, video, music and voice, and browser automation for the AI tools you already use.

Website · Download · API docs · Agentic developer docs · License

Free · Open source (AGPL-3.0) · Runs on your own machine

LumaBrowser chat answering a question after searching the web

LumaBrowser replaces the pile of separate tools people run for local AI (a model server, a chat UI, an image generator, a voice stack, a headless browser for agents) with one desktop app. It looks at your GPUs, tells you which models fit before you download them, and runs everything locally. Your own tabs, logins and files stay on your machine, and outside agents like Claude Code, Codex, Cline and OpenCode can drive the browser through MCP.

Get started

1. Install

Download the latest build from [GitHub Releases](https://github.com/amurgola/LumaBrowser/releases/latest):

Platform	File
Windows x64	Installer or portable `.exe`
Linux x64	AppImage
macOS (Apple Silicon)	`.dmg`

Or, with Node 18 or newer, fetch and launch the latest build from the terminal:

npx lumabrowser start

2. Pick a model

Open **Models**. LumaBrowser reads your hardware and puts a fit badge and a predicted speed on every model before you download it. Search Hugging Face directly, or link models you already have in LM Studio, Ollama or the Hugging Face cach