This article details how to combine Clawdbot with Docker Model Runner (DMR) to build a privacy-focused, high-performance personal AI assistant with full control over data and costs. It covers configuration, benefits, recommended models, and how to get involved in the ecosystem.
Exploring secure environments for testing and running AI agent code, including options like Docker, online IDEs, and dedicated platforms.
A collection of Docker-based web user interfaces for running generative AI models locally.
This article details how the author uses a local LLM to summarize Docker logs and other home lab logs, providing proactive insights into their self-hosted setup and improving maintenance.
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 significant security vulnerabilities found in the Model Context Protocol (MCP) ecosystem, a standardized interface for AI agents. It outlines six critical attack vectors – OAuth vulnerabilities, command injection, unrestricted network access, file system exposure, tool poisoning, and secret exposure – and explains how Docker MCP Toolkit provides enterprise-grade protection against these threats.
Docker introduces the enhanced MCP Catalog, offering secure discovery and execution of MCP servers, addressing security concerns with containerized solutions, and opening the submission process to the community.
This blog details how to use Docker MCP Catalog and Docker MCP Toolkit to easily spin up and manage Model Context Protocol (MCP) servers, connecting them to clients like Claude and Cursor.
Docker is making it easier for developers to run and test AI Large Language Models (LLMs) on their PCs with the launch of Docker Model Runner, a new beta feature in Docker Desktop 4.40 for Apple silicon-powered Macs. It also integrates the Model Context Protocol (MCP) for streamlined connections between AI agents and data sources.
