This repository implements a self-hosted deployment platform alternative to services like Vercel or Netlify. It enables users to deploy GitHub repositories with zero-downtime updates, instant rollback, and preview deployments for branches. The platform provides team-based access control, custom domain support with automatic Let's Encrypt SSL, storage provisioning (databases/volumes), and real-time log aggregation via Loki. Built with FastAPI, SQLAlchemy, and ARQ for background jobs, the architecture separates concerns into routers, services, models, utilities, and workers. Infrastructure is orchestrated via Docker Compose, including Traefik for routing, PostgreSQL for primary data, Redis for caching/job queue, and Loki/Alloy for logs. Key entry points include the main FastAPI app, API routers for auth/project/team/admin, and worker entrypoints for ARQ jobs and deployment monitoring.
Coolify is a self-hosted Platform-as-a-Service (PaaS) that enables users to deploy and manage applications, databases, and services on their own infrastructure. It serves as an open-source alternative to Heroku, Netlify, or Vercel, supporting Docker-based deployments with Git integration (GitHub, GitLab, Gitea, Bitbucket), multiple build packs (Railpack, Nixpacks), and one-click service templates. The system manages servers, reverse proxies (Traefik/Caddy), SSL certificates, scheduled backups, and multi-channel notifications (email, Discord, Slack, Telegram, Pushover, webhook). The architecture is a Laravel monolith with a Livewire + Alpine.js frontend for the v4 UI and a React + TypeScript canvas-based interface for the v5 UI. Background jobs are handled by Laravel Horizon with dedicated queues for deployments, cron tasks, and reconciliation. Real-time updates use Soketi (a Pusher-compatible WebSocket server) and Laravel Echo. The system integrates with cloud providers (Hetzner, Vultr, DigitalOcean) for server provisioning and Stripe for subscription billing. A Model Context Protocol (MCP) server exposes resources and tools for AI assistant integration. Key data flows include: webhook ingestion from Git providers triggering deployment jobs, SSH-based remote command execution on managed servers, Docker Compose parsing and environment variable injection, database backup scheduling with S3 storage, and proxy configuration generation. The v5 architecture introduces a control-plane/agent split with Flux (HTTP socket) and coold (gRPC) components for improved scalability and isolation. External dependencies include Docker, PostgreSQL, Redis, Soketi, Stripe API, cloud provider APIs, and various notification service endpoints. The codebase is actively developed with frequent schema migrations and a dual v4/v5 code path, indicating ongoing architectural evolution.
OpenClaw AWD Arena is a comprehensive platform for conducting Attack-With-Defense (AWD) cybersecurity competitions, specifically designed for training and evaluating large language models (LLMs) in offensive and defensive security scenarios. The system orchestrates isolated Docker container environments where each participant (LLM agent or human) runs a vulnerable service that must be defended while attempting to capture flags from opponents' services. It features a web-based interface for match configuration and real-time monitoring, a Python/FastAPI backend handling game logic, scoring, and WebSocket-based event streaming, and custom orchestration logic for managing the lifecycle of match environments. The platform includes built-in flag management, scoring systems, match replay functionality, and support for multiple agent backends via a plugin architecture.
Clarvis AI is a Docker-based orchestration system that combines OpenClaw, claw3d, and curaengine-slicer-api to create an AI-powered 3D printing assistant accessible via Telegram, Discord, or WhatsApp. Users can interact through natural language to generate 3D models from text/images, search existing models, slice them to G-code, and send them to compatible printers. The system features a two-service architecture: a gateway handling AI and chat integrations, and a slicer service providing REST API access to CuraEngine for model slicing. The setup process is automated via a comprehensive bash script that builds Docker images, runs interactive configuration wizards for both OpenClaw and claw3d components, and starts all services. A notable reusable component is the Node.js-based configuration script for claw3d, which uses @clack/prompts to create a polished terminal user interface for gathering settings and outputting JSON configuration. This script exemplifies strong CLI tool design with clear separation of concerns, error handling, and adaptability for reuse in other projects.