andrew-waters/orchard v2.1.3 on GitHub

Orchard v2.1.3

Installation

Download the DMG file below
Open the DMG and drag Orchard.app to your Applications folder
Launch Orchard from Applications

Changes

Added

Local AI models (MLX): a new AI Models section discovers model servers running on your Mac (Ollama, LM Studio, and MLX servers), and can start and stop your own mlx_lm.server instances - pick a model and port, choose whether to bind 0.0.0.0 so containers can reach it, with child-process supervision, crash surfacing and log access.
The container↔model bridge: wire a container to a host model in one step. Orchard computes the container-reachable endpoint from the network gateway and injects OPENAI_BASE_URL at create time - so a containerised app or agent talks to a local model with no hand-configured host networking. Inference runs on the Apple GPU on the host (Virtualization.framework guests have no GPU access).
Sandboxes: a first-class view of containers wired to a local model, recognised by a label Orchard stamps or by a model-endpoint environment variable. Each sandbox shows its model endpoint, an isolation badge (host-only/no-egress vs internet-open), and agent-runner controls - chat, terminal, and a stop kill-switch. Create one from the New Sandbox button or from a model's detail.
In-app chat tester: hold a short conversation with any model server from the AI Models view - no terminal or container needed - to check it's working.
Sandbox containers are flagged with a shield badge (and an explanatory popover) in the Containers list and detail, since a sandbox appears in both places.
A new Local AI guide on the site covering MLX, the bridge, isolation, and a runnable quick start.

Changed

Reorganised the sidebar so Sandboxes joins Containers and Machines under Compute, and AI Models sits under Resources alongside Images and Mounts.

Checksums

SHA256: See the .sha256 file for verification

System Requirements

macOS 26 (Tahoe)
Apple Container installed