Live, in-place screen translation for macOS — a lens that rewrites the text under it in your language, on-device.
Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.
The free AI already on your Mac. CLI tool, OpenAI-compatible server, and interactive chat — all on-device via Apple Intelligence. No API keys, no cloud, no downloads.
AI coding assistant for Xcode
Debloat macOS: turn off Apple Intelligence, analytics, ads and pop-ups. A native app and CLI, and every change can be undone.
AirPosture: AirPods as posture coach
An open-source, macOS text action popup for running custom scripts, AI actions, and extensible workflows on selected text.
Agent! now supports macOS 14.6 or later, Apple Silicon and Intel, latest release. The Best AI agent for Mac: drives any app via Accessibility, codes/builds in Xcode, automates AppleScript, JXA, Swift and SMAppService shell (user/root). 23 LLM providers, local/cloud, plus on-device Apple Intelligence and Jev guard. Auto-Pilot, MCP, Avatar.
An on-device LLM understands your entire life, then proactively offers to get your work done through computer use.
Open-source on-device AI agent workspace designed for iOS/iPadOS and Android: Linux environments, code execution, local web previews and supported local models. Notes, Office, creative tools and BYOK cloud AI. iPad-first. 开源设备端 AI 智能体与本地运行环境。
Remove unwanted Apple Intelligence models without disabling SIP. CLI, nix-darwin, and Home Manager support.
Native, local-first network intelligence for macOS—capture live traffic, inspect PCAP/PCAPNG files, and investigate sessions, protocols, processes, flows, and packet evidence.
The AI port manager for Mac. See every localhost port, ask what it is, stop it in one click.
Strata Files: a fast, native, keyboard-first file manager and Finder alternative for macOS. Instant search, live folder sizes, disk usage map, dual pane.
A native macOS lab for teaching tiny language models to think — build the architecture, train the weights, and watch a small LLM emerge from scratch, locally on Apple Silicon with custom data, tokenizers, checkpoints, and MLX acceleration.
Typed structured extraction from PDFs, photos & text via any LLM — Instructor for Swift, document-first