Automation Workflows
A visual programming language to build and run custom workflows in minutes.
Built for Many Missions
Whether you need to automate generic tasks, manage complex VFX and 3D rendering pipelines, or want to simplify your CI/CD pipeline, Actionforge makes it easy to build and integrate workflows.
1. Build your graph.
2. Run it everywhere.
Run your workflows anywhere, whether local or in the cloud.
A Glimpse of Stellar Performance
Actionforge delivers peak performance, rivaling the fastest runtimes, from CPU-intensive tasks to I/O-heavy file operations.
Create Custom Nodes and Share with Everyone
Custom group nodes help encapsulate complex logic into a single node. Share these nodes with your colleages or friends and help others to build powerful workflows.
Run on Every Platform
Actionforge is designed with highest compatibility in mind. Run your action graphs on x64/arm64 and on all major operating systems, locally on your high-end computer, on your Raspberry Pi or in the cloud.
Windows
Support for Windows 10, Windows 11 and most Windows Server versions.
macOS
Support for MacOS Monterey, Ventura, and Sonoma.
Linux
Support for Ubuntu, Debian, CentOS, Fedora, and more.
Docker
Support for the big ship. Deploy and run graphs via Docker and Kubernetes.
docker build -t actionforge/actrun .
docker run actionforge/actrun
Node.js
Run graphs in Node.js using WebAssembly for max performance.
import { run } from "actrun";
run("hello.act");
Python
Run graphs within Python for performance critical operations.
from actrun import run
run('hello.act')
Feels Like a Desktop App
Actionforge turns complex workflows and automation into an intuitive, enjoyable experience. The web-based graph editor feels like a desktop app, supporting native shortcuts, and drag-and-drop support. A native desktop application is available for Enterprise users.
The perfect Duo ♥
Actionforge also offers a fully-featured integration with GitHub Actions, built as a VS Code Extension. This extension allows you to build GitHub Actions workflows in minutes, not hours, without any need for YAML.