Meshquake monitors real-time earthquakes via USGS and sends alerts over Meshtastic mesh radios.
Mail-Archiver is an open-source, self-hosted email archiving system that allows you to take back ownership of your communication data. It's built with .NET and PostgreSQL, offering a responsive web interface for managing and backing up emails from multiple accounts.
This tutorial guides you through installing and using an inference snap, specifically Qwen 2.5 VL, a multi-modal large language model. It covers installation, status checks, basic chat, and configuring Open WebUI for image-based prompts.
Learn to deploy your own local LLM service using Docker containers for maximum security and control, whether you're running on CPU, NVIDIA GPU or AMD GPU.
This article details the integration of Docker Model Runner with the NVIDIA DGX Spark, enabling faster and simpler local AI model development. It covers setup, usage, and benefits like data privacy, offline availability, and ease of customization.
This article details how the author created a dashboard to manage their self-hosted applications, focusing on the use of Homepage and its benefits for organization and access to service information.
Dozzle is a lightweight, self-hosted solution that provides a real-time look into your container logs, offering an intuitive UI, real-time logging, intelligent search, and support for multiple use cases like home labs and local development.
An encyclopedia where everything can be an article, and every article is generated on the spot. Articles are often full of hallucinations and nonsense, especially with lower parameter models. The project uses Ollama and Go to generate content.
Run, validate and execute GitHub Actions locally. WRKFLW is a powerful command-line tool for validating and executing GitHub Actions workflows locally, without requiring a full GitHub environment.
DockaShell is an MCP (Model Context Protocol) server that gives AI agents isolated Docker containers to work in. Each agent gets its own persistent environment with shell access, file operations, and full audit trails. It aims to remove limitations of current AI assistants like lack of persistent memory, tool babysitting, limited toolsets, and no self-reflection, enabling self-evolving agents, continuous memory, autonomous exploration, and meta-learning.
