Get started using the Model Context Protocol to experiment with AI capabilities using Docker Desktop.
genai stack
Meet Gordon: An AI Agent for Docker
We share our experiments creating a Docker AI Agent, named Gordon, which can help new users learn about our tools and products and help power users get things done faster.
Unlocking Efficiency with Docker for AI and Cloud-Native Development
Learn how Docker helps you deliver secure, efficient applications by providing consistent environments and building on best practices that let you discover and resolve issues earlier in the software development life cycle (SDLC).
How to Create and Use an AI Git Agent
We show how to create Git agent and use this Git agent to understand PR branches for a variety of user personas — without needing to know the ins and outs of Git.
Extending the Interaction Between AI Agents and Editors
We explore the interaction of AI agents and editors by mixing tool definitions with prompts using a simple Markdown-based canvas.
Getting Started with the Labs AI Tools for Devs Docker Desktop Extension
Explore the Labs AI Tools for Devs extension in Docker Desktop, designed for prompt authors to easily build, run, and share their AI tools. Get started quickly with our guide to installing the extension and running your first prompts.
Adding the ESLint Tool to an AI Assistant: Improving Recommendations for JS/TS Projects
We show how to enable our AI assistant to provide advice that is both helpful and actionable for linting JavaScript and TypeScript projects.
Local LLM Messenger: Chat with GenAI on Your iPhone
Learn about the LoLLM Messenger project — a winner of the AI/ML Hackathon — which allows you to send iMessages to GenAI models running directly on your computer.
How an AI Assistant Can Help Configure Your Project’s Git Hooks
Make Git hooks easier to configure and use by providing project-specific context to Docker’s AI assistant.