runner-up

Rerun is an open-source, self-hostable application for setting up teams of AI coworkers. A Foreman interprets plain-language requests, plans the team, and creates coworkers with separate jobs, skills, memory, and computers. Coworkers can use browsers and connected tools, collaborate on tasks, run on schedules or webhook triggers, and pause for approval before sending, paying, or deleting anything. It supports MCP servers, Composio integrations, and a catalog of ready-made integrations, and can use API keys, existing Claude or ChatGPT subscriptions, or models served through Ollama, LM Studio, vLLM, or an OpenAI-compatible server. The application is built as a Next.js and React frontend with Supabase, a per-workspace engine, the Vercel AI SDK, Hono, libSQL, Patchright, and Docker in a pnpm monorepo. The repository is licensed under AGPL-3.0. Self-hosting requires Docker, Node.js 22, a Supabase project, and an OpenRouter key according to the setup instructions. Some directories covering billing, plans, credits, managed models, and the template marketplace use the Rerun Commercial License.

GitHub Actions Runner Images is the source repository used by GitHub to create VM images for GitHub-hosted Actions runners and by Microsoft for Azure Pipelines hosted agents. It defines Linux, macOS, and Windows images for x64 and Arm64 architectures, including their YAML labels and preinstalled software. The repository contains image definitions, build sources, release information, and policies for software installation, image support, version updates, and deprecation. Images are typically updated weekly; the `-latest` labels migrate gradually to newer stable operating-system versions, while GA images support at most the two newest OS versions and beta images are used for feedback before general availability. The repository also documents package-manager-based installation, supported tool-version strategies, and instructions for building a VM image from the source.

cronstable is a job scheduler and workflow orchestrator for single machines and clusters. It runs commands in the foreground, logs to stdout and stderr, and accepts jobs defined in YAML or imported from five-field user crontab files. Jobs can use cron-style schedules, time zones, retries with exponential backoff, configurable failure detection, execution timeouts, result verification, and alerts through Sentry, email, Slack-compatible webhooks, shell commands, or Windows Event Log. An optional durable state store preserves run history and pending retries across restarts, supports missed-run recovery, and provides storage, locks, idempotency keys, artifacts, and secrets. DAG workflows add dependencies, data sharing, fan-out, sensors, approval gates, and selective recovery. Optional clustering coordinates replicas through gossip, Kubernetes leases, etcd, or a shared filesystem, with leader election and job ownership policies. The daemon exposes a web dashboard and HTTP API with live logs, history, schedule inspection, workflow controls, cluster views, and built-in Prometheus and StatsD metrics. A terminal dashboard and optional iOS app are also available. The project publishes Docker images and standalone binaries for multiple operating systems, can run as a restricted non-root container, requires Python 3.10 or later for pip installation, and is MIT-licensed.

HashiCorp Nomad is a workload scheduler and orchestrator for deploying and managing containerized and non-containerized applications across on-premises environments and cloud infrastructure. It expresses workloads as jobs, schedules them onto clusters, and uses task drivers to execute different types of tasks; job specifications can include parameterized behavior, placement affinities, preemption, retries, and node rescheduling. Nomad supports integrations such as Consul for service discovery, health checking, and service mesh capabilities, and Vault for secrets. It is a competitor in the container-orchestration ecosystem, where Kubernetes ultimately prevailed. HashiCorp provides a CLI, tutorials, a sandbox, production guidance, and an Enterprise edition with features including access control, resource quotas, Sentinel integration, and encrypted cluster traffic.

Namespace is a cloud-based, observable drop-in replacement for GitHub Actions runners. It runs GitHub Actions across Mac, Windows, and Linux, including x86 and stated ARM configurations, and uses attached NVMe storage, dependency and Docker-layer caches, Git repository mirrors, and custom base images to reduce setup and build time. It provides SSH and GUI access for interactive debugging, performance reports for developers and software agents, and resource metrics and logs for diagnosing slow or space-constrained jobs. The videos also describe a devbox environment with virtual machines, codebase test suites, databases, and network access for software agents.