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CML is a pipeline automation tool for training and evaluating machine learning models, functioning as a CI/CD system for machine learning. It serves as a cloud compute orchestrator and Git-based workflow manager that automates model training cycles through branch management, automated commits, and integrated reporting. The project distinguishes itself by provisioning ephemeral cloud instances or Kubernetes nodes to provide specialized hardware for compute-heavy tasks. It also manages remote compute runners, allowing the connection of self-hosted GPU clusters or on-premise machines to execute
Osmedeus is a security workflow orchestration engine that coordinates AI agents, shell commands, and scanning tools through declarative YAML pipelines. It functions as a distributed security scanner, a declarative workflow automator, and an AI agent framework for security, enabling automated multi-step security analysis with conditional branching, parallel execution, and distributed workers. The engine distinguishes itself through a hybrid runner model that executes workflow steps on the local host, inside Docker containers, or over SSH to remote machines, selected per step or module. It supp
Inngest is a durable execution framework and event-driven automation engine designed to orchestrate background workflows. It enables developers to build resilient, stateful processes by memoizing function steps, ensuring that long-running tasks can automatically resume from the last successful operation after failures, timeouts, or infrastructure restarts. The platform distinguishes itself through its event-driven architecture, which uses a schema-validated bus to trigger functions and coordinate complex, multi-step logic. It employs an onion-model middleware approach for cross-cutting concer
This project provides a containerized execution agent designed to host automated workflows for version control platforms. It functions as a self-hosted runner that automatically registers with a central service upon startup and terminates after completing a single job, ensuring that every task runs in a clean, isolated environment. The system distinguishes itself through its focus on ephemeral lifecycle management and security. By utilizing a non-root execution model, it enforces least-privilege principles during job processing. The runner supports dynamic configuration through environment va
The GitHub Actions Runner is the application that executes workflow steps in a GitHub Actions pipeline. It runs each step of a workflow automatically to build, test, and deploy software, serving as the execution engine for automation defined in GitHub repositories.
The main features of actions/runner are: Runner Installers, Workflow Step Executors.
Projects with overlapping indexed features include: iterative/cml — CML is a pipeline automation tool for training and evaluating machine learning models, functioning as a CI/CD system… j3ssie/osmedeus — Osmedeus is a security workflow orchestration engine that coordinates AI agents, shell commands, and scanning tools… inngest/inngest — Inngest is a durable execution framework and event-driven automation engine designed to orchestrate background… myoung34/docker-github-actions-runner — This project provides a containerized execution agent designed to host automated workflows for version control…