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Corridorkey Runtime

Corridorkey Runtime is a native, locally run AI-assisted video-keying tool with an OFX plugin for DaVinci Resolve and Foundry Nuke, a CLI for processing and diagnostics, and a Tauri desktop GUI.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Corridorkey Runtime — OpenViST project profile in Image & Video AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use the OFX plugin for interactive keying in a supported host, the CLI for local processing or automation, and the GUI when a graphical workflow is preferable.

Who it is for

  • Video editors working in DaVinci Resolve or Foundry Nuke who want an OFX keying workflow.
  • Users who need local CLI processing, diagnostics, or automation.
  • Operators who prefer a desktop graphical interface to command-line use.

Documented uses

  • Apply AI-assisted keying to video from within a supported OFX host.
  • Process a video locally through the CLI, including with a named preset or external Alpha Hint.
  • Check hardware capability and emit machine-readable NDJSON events for integration workflows.
  • Use a desktop GUI to work with the runtime without installing the OFX bundle.
Before you choose

Requirements & limits

Pre-packaged releases are listed on the project’s GitHub Releases page. The README identifies public builds for Windows with NVIDIA RTX and macOS on Apple Silicon.

  • The project offers distinct plugin, CLI, and GUI surfaces; the GUI does not require the OFX bundle.
  • Windows RTX public installer guidance specifies NVIDIA RTX 30 series and newer. The separate DirectML track is experimental and not broadly validated across AMD, Intel, or RTX 20 series.
  • macOS installation instructions specify Apple Silicon and DaVinci Resolve 20; the plugin is described as using MLX automatically on M-series chips.
  • Source builds require a C++20 compiler, CMake 3.28+, Ninja, and vcpkg with VCPKG_ROOT set.
  • Adobe After Effects and Premiere plugins are not supported public surfaces until host validation passes.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Process a video with the CLI

Run the documented local video-processing command using the hardware-aware default preset.

Before you start

  • A portable runtime release for the platform; the README gives corridorkey for macOS bundles and source builds, and ck-engine.exe for the Windows portable runtime bundle.
  • An input video and a destination path.

Steps

  1. Download the portable runtime release for the platform.

  2. Run corridorkey process input.mp4 output.mp4 on macOS or a source build; use ck-engine.exe as the command name in the Windows portable runtime bundle.

Expected outcome

The CLI is instructed to process the input video to the specified output using hardware-aware defaults.

Guide limitations

  • The README does not specify input-format compatibility or processing results.
  • Command names differ by bundle and platform; check the release package and support matrix for platform and hardware details.
Documentation 1 ↗
Source-based practical guide

Install the macOS OFX plugin in DaVinci Resolve

Install the documented Apple Silicon plugin package and add CorridorKey to a clip in Resolve.

Before you start

  • An Apple Silicon Mac and the .pkg Apple Silicon installer.
  • DaVinci Resolve 20.

Steps

  1. Download the Apple Silicon .pkg installer.

  2. Close DaVinci Resolve and run the installer.

  3. Open Resolve 20, go to the Color or Fusion page, and find CorridorKey in the OpenFX Library.

  4. Drag the node onto the clip.

Expected outcome

The CorridorKey OFX node is placed on a clip; the README says it uses the MLX-accelerated path automatically on M-series chips.

Guide limitations

  • This procedure is specifically for macOS on Apple Silicon and DaVinci Resolve 20.
  • Check the support matrix for explicit hardware and platform support details.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
17 October 2026
Original website title
alexandremendoncaalvaro/CorridorKey-Runtime · Official homepage title · retained in its source language
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