# LlamaBarn

**Repository Path**: oo/LlamaBarn

## Basic Information

- **Project Name**: LlamaBarn
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-02-06
- **Last Updated**: 2026-02-06

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# LlamaBarn

LlamaBarn is a macOS menu bar app for running local LLMs.

[Watch a 2-minute intro](https://www.youtube.com/watch?v=7AieF7rZUTc) 📽️

<br>

![LlamaBarn](https://github.com/user-attachments/assets/b447a485-9bbe-4290-ba42-5481aafa4af5)

<br>

## Install

Install with `brew install --cask llamabarn` or download from [Releases](https://github.com/ggml-org/LlamaBarn/releases).

## How it works

LlamaBarn runs a local server at `http://localhost:2276/v1`.

- **Install models** — from the built-in catalog
- **Connect any app** — chat UIs, editors, CLI tools, scripts
- **Models load when requested** — and unload when idle

## Features

- **100% local** — Models run on your device; no data leaves your Mac
- **Small footprint** — `12 MB` native macOS app
- **Zero configuration** — models are auto-configured with optimal settings for your Mac
- **Smart model catalog** — shows what fits your Mac, with quantized fallbacks for what doesn't
- **Self-contained** — all models and config stored in `~/.llamabarn` (configurable)
- **Built on llama.cpp** — from the GGML org, developed alongside llama.cpp

## Works with

LlamaBarn works with any OpenAI-compatible client.

- **Chat UIs** — Chatbox, Open WebUI, BoltAI ([instructions](https://github.com/ggml-org/LlamaBarn/discussions/40))
- **Editors** — VS Code, Zed, Xcode ([instructions](https://github.com/ggml-org/LlamaBarn/discussions/43))
- **Editor extensions** — Cline, Continue
- **CLI tools** — OpenCode ([instructions](https://github.com/ggml-org/LlamaBarn/discussions/44)), Claude Code ([instructions](https://github.com/ggml-org/LlamaBarn/discussions/45))
- **Custom scripts** — curl, AI SDK, etc.

You can also use the built-in WebUI at http://localhost:2276 while LlamaBarn is running.

## API examples

```sh
# list installed models
curl http://localhost:2276/v1/models
```

```sh
# chat with Gemma 3 4B (assuming it's installed)
curl http://localhost:2276/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model": "gemma-3-4b", "messages": [{"role": "user", "content": "Hello"}]}'
```

Replace `gemma-3-4b` with any model ID from `http://localhost:2276/v1/models`.

See complete API reference in `llama-server` [docs](https://github.com/ggml-org/llama.cpp/tree/master/tools/server#api-endpoints).

## Experimental settings

**Expose to network** — By default, the server is only accessible from your Mac (`localhost`). This option allows connections from other devices on your local network. Only enable this if you understand the security risks.

```sh
# bind to all interfaces (0.0.0.0)
defaults write app.llamabarn.LlamaBarn exposeToNetwork -bool YES

# or bind to a specific IP (e.g., for Tailscale)
defaults write app.llamabarn.LlamaBarn exposeToNetwork -string "100.x.x.x"

# disable (default)
defaults delete app.llamabarn.LlamaBarn exposeToNetwork
```

## Roadmap

- [ ] Support for adding models outside the built-in catalog
- [ ] Support for loading multiple models at the same time
- [ ] Support for multiple configurations per model (e.g., multiple context lengths)