ggml-org/Llama-macOS
A cosy home for your LLMs. observed · 2026-08-28
Health v2 · maintenance only
85/100
- Activity 99
- Release rhythm 98
- Longevity 30
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 5
- age_days: 429
- days_rel: 15
- days_push: 7
- n_releases_24m: 46
Adoption not part of the score
1472 stars · 101 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A native macOS menu bar app for running local LLMs, built on llama.cpp by the GGML org. It exposes an OpenAI-compatible local server at localhost:9931, manages GGUF model installation from Hugging Face, and auto-configures models for your Mac's hardware.
Use cases
- run local llms on my mac
- chat with local models without sending data to the cloud
- serve an openai-compatible api for local models
- install gguf models from hugging face easily
- connect coding agents to a local llm server
- auto-unload idle models to save memory
When to choose
- you want a zero-config, fully local LLM runtime on macOS
- you want a tiny native app that shares the llama.cpp/Hugging Face model cache
- you need an OpenAI-compatible endpoint for other tools and agents
When to avoid
- you need LLM serving on Linux or Windows
- you want multi-GPU or datacenter-scale inference
- you need a cross-platform GUI for local models
Facets
application · maturity active
llm-inference http-server chat-interface gui large-language-models artificial-intelligence self-hosted developer-tools menu-bar-app local-llm gguf llama-cpp openai-compatible-api hugging-face macos desktop swift
1 source
- readme: https://github.com/ggml-org/Llama-macOS · fetched 2026-08-28 · bf5c21940379
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ggml-org/Llama-macOS | main | 85 |
For agents
markdown · JSON · MCP: product_card(name="ggml-org/Llama-macOS")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem