Orchard

OmacVM is an open-source tool that installs and runs Omarchy, an Arch Linux ARM desktop, in a virtual machine on Apple Silicon Macs. A setup script builds the VM and configures it for OmacVM.app, UTM, VMware Fusion, or Parallels Desktop, while Mac-side helpers pass hardware and system features to the VM over a private network secured by a secret token. These integrations include trackpad gestures, macOS-like scrolling, keyboard and media keys, Wi-Fi, Bluetooth, audio, battery status, displays, camera, microphone, clipboard sharing, theme and wallpaper synchronization, and the Omanotch bar beside the MacBook notch. The command-line interface can build VMs, switch features, update installations, check compatibility, manage VM resources, and list VMs. It requires an Apple Silicon Mac, macOS 15 for OmacVM.app or macOS 14 for the other virtualization routes, and about 30 GB of free disk space. OmacVM is released under the MIT license.

Try Omarchy is a macOS application that runs the upstream Omarchy desktop on Apple Silicon Macs without manual setup. It packages a project-built ARM64 Arch Linux image configured with Omarchy Quattro, a QEMU runtime using Apple's Hypervisor Framework, and a Swift/AppKit launcher. The guest image is built from pinned Arch Linux ARM packages and a pinned Omarchy source revision, with temporary fixes recorded by hash in the guest build specification. The application provides hardware-accelerated ARM64 virtualization and VirGL graphics, a resizable native window with automatic guest-resolution and HiDPI updates, Mac audio input and output selection, two-way clipboard sharing for text and PNG images, one optional shared Mac folder, and loopback-only TCP and UDP port forwarding from macOS into Omarchy. It is distributed as a signed and notarized DMG, and the first launch provisions the Linux account and guest environment. Video decoding is currently CPU-only, which can make high-resolution playback slow. Try Omarchy is not official or affiliated with Omarchy.

ODS is a self-hosted local AI server stack developed by Osmantic for Linux, Windows with WSL2 and Docker Desktop, and Apple Silicon macOS. Its installers detect the host hardware, select an installable model, generate credentials, and launch a preconfigured stack containing local LLM inference, Open WebUI, a management dashboard, LiteLLM, embeddings, speech-to-text, text-to-speech, agents, n8n workflows, Qdrant-based RAG, search, ComfyUI image generation, and operational and privacy tools. Local mode is the default; cloud and hybrid modes can route through OpenAI, Anthropic, or Together APIs. The stack uses a bootstrap model so chat can begin while the hardware-selected full model downloads in the background. A manifest-based extension system discovers service folders and merges their Docker Compose definitions into the stack, while the `ods` CLI manages services, models, modes, configuration, presets, and lifecycle operations. The repository documents GPU and unified-memory paths for NVIDIA, AMD, Intel Arc, and Apple Silicon hardware, along with model selection, recovery, validation, and operator workflows. ODS is distributed as an Apache-2.0-licensed open-source repository and can be installed with shell or PowerShell installers. The repository identifies version 2.6.0 as its stable release and states that no cloud account or subscription is required for local operation.

Orca is a free, open-source agent development environment for running multiple coding agents in parallel on desktop, mobile, or a VPS. It runs CLI agents such as Codex, Claude Code, OpenCode, and Pi side by side, placing each agent in an isolated Git worktree so results can be compared and merged. The environment provides split terminals, a VS Code editor, diff annotation and review, browser-based Design Mode that sends selected HTML, CSS, and screenshots to an agent, native GitHub and Linear views, SSH worktrees with port forwarding, and a mobile companion for monitoring agents and sending follow-ups. Its CLI can script workflows such as creating worktrees, taking snapshots, clicking, and filling fields. Orca is designed to work with any coding agent that runs in a terminal and uses the user's own agent subscriptions.

oMLX is an open-source LLM inference server for Apple Silicon Macs, managed through a macOS menu-bar application. It serves text, vision, OCR, embedding, and reranking models through compatible API endpoints, with model discovery and management, monitoring, continuous batching, and caching. Its caching system keeps KV cache in a hot in-memory tier and a cold SSD tier, allowing cached context to remain reusable across requests even when the conversation context changes. The project can be installed as a macOS app, through Homebrew, or from source, and includes a CLI for controlling the app-managed server. The repository states that it requires macOS 15 or later, Python 3.11–3.13, and Apple Silicon hardware.