v2.1.3

Orchard v2.1.3

Installation

1. Download the DMG file below
2. Open the DMG and drag Orchard.app to your Applications folder
3. 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