Ghostbar: A ~5MB native macOS Swift AI client that hides from screen sharing
Ghostbar is a native Swift macOS menu bar AI client that hides from all screen recorders — Zoom, Teams, OBS, QuickTime, Cmd+Shift+5 — by calling window.sharingType = .none. It removes the window from macOS's display compositor before any capture pipeline touches it. This is a public documented AppKit API, not a hack. It's been tested on modern macOS; older recorders on legacy CGDisplayStream may still pick it up on pre-14 systems.
Key features
- Works with any OpenAI-compatible backend: local (Ollama, LM Studio, llama.cpp, vLLM — point at server IP) or cloud (NVIDIA NIM free tier, OpenAI, Anthropic, OpenRouter as fallback).
- On-device voice input via whisper-cpp.
- Screenshot analysis — model sees your screen, recorder doesn't.
- ~5MB download, menu bar resident.
The entire project is on GitHub: github.com/rbc33/Ghostbar. Currently at 50 stars. The developer is active in the Reddit thread for Q&A.
This is a practical tool for developers who run local models during work calls and don't want their AI client visible on screen share. No Electron bloat, no cloud dependency.
📖 Read the full source: r/LocalLLaMA
👀 See Also
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Benchmark: Gemma4 12B vs Qwen3 8B quantized on 24GB Mac Mini
A developer tested Gemma4 12B against Qwen3:8b-q4_K_M on a 24GB Mac Mini using two prompts. Qwen3 processed prompts 4-5x faster, while Gemma4 generated output slightly faster.