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Docker & Infrastructure Open Source

Dockge

Simple Docker Compose stack manager.

4.4

About This Tool

Dockge is a lightweight, self-hosted Docker Compose manager by the creator of Uptime Kuma. It provides a clean web UI to create, edit, start, stop, and update your Docker Compose stacks. Interactive editor, real-time terminal, and multi-agent support. Perfect for managing your AI tool containers on the homelab.

In-Depth Review

Dockge fills a specific niche in the homelab ecosystem that many Docker Compose users didn't realize they needed until they tried it. Coming from the same developer who created Uptime Kuma, it brings that same philosophy of simplicity and reliability to container stack management. After running it for several months managing my AI infrastructure, I can confidently say it strikes the right balance between functionality and ease of use.

The setup process is refreshingly straightforward - a single Docker Compose file gets you running in minutes. The web interface is clean and intuitive, avoiding the bloat that plagues some container management platforms. What immediately stands out is the interactive editor with syntax highlighting and validation, which catches compose file errors before deployment. The real-time terminal output is particularly valuable when troubleshooting AI model downloads or container startup issues.

Where Dockge truly shines is in its approach to stack management. Unlike Portainer's sometimes opaque handling of compose files, Dockge maintains direct file system access to your compose files, making it easy to version control or edit outside the UI when needed. The multi-agent support allows managing stacks across different servers from a single interface, which is perfect for distributed AI workloads.

Performance is solid with minimal resource overhead - it typically uses under 50MB of RAM on my system. Container logs are responsive even with verbose AI training outputs, and stack operations execute quickly. The update mechanism works reliably, though it requires manual triggering rather than automated updates.

The limitations are worth noting. Advanced Docker features like secrets management or complex networking configurations require manual compose file editing. The user management is basic - essentially all-or-nothing access control. Monitoring capabilities are minimal compared to dedicated solutions, though this aligns with Dockge's focused scope.

For homelab AI enthusiasts running multiple container stacks, Dockge eliminates much of the command-line friction without sacrificing control. It's particularly valuable when managing family members' or team access to self-hosted services, as the web interface is far more approachable than SSH and docker-compose commands. The tool doesn't try to do everything, and that restraint is actually its strength.

Real-World Use Cases

01 Managing local Ollama instances with different model configurations across multiple hosts
02 Deploying and updating AI image generation stacks like Stable Diffusion WebUI with GPU acceleration
03 Running private ChatGPT alternatives with Oobabooga TextGen WebUI for sensitive document analysis
04 Orchestrating multi-container AI pipelines combining Whisper, language models, and text-to-speech
05 Managing development and production instances of AI applications with different resource allocations
06 Coordinating distributed AI training workloads across multiple servers in a homelab cluster
07 Deploying family-friendly AI tools like voice assistants while maintaining easy update workflows

Pros & Cons

Pros

  • Clean, intuitive web interface that non-technical users can navigate confidently
  • Direct file system access maintains compatibility with existing Docker Compose workflows and version control
  • Real-time terminal output and logs make troubleshooting container issues straightforward
  • Multi-agent support enables centralized management of stacks across multiple servers
  • Minimal resource footprint - typically uses less than 50MB RAM with fast response times
  • Interactive compose file editor with syntax highlighting catches configuration errors before deployment

Cons

  • Basic user management with no granular permission controls or role-based access
  • Limited monitoring and alerting capabilities compared to comprehensive container platforms
  • No built-in backup or disaster recovery features for stack configurations
  • Advanced Docker features like secrets management require manual compose file editing
  • Update notifications are manual rather than automated, requiring regular checking

Works With

Docker Docker Compose Ollama Stable Diffusion WebUI Oobabooga TextGen WebUI Home Assistant n8n Whisper Jupyter PostgreSQL Redis Traefik Nginx Proxy Manager NVIDIA GPU Intel GPU Apple Silicon Raspberry Pi Ubuntu Debian Proxmox Unraid

User Ratings