# Docker AI Docker AI is [[Docker]]'s push to make the existing container workflow (`docker`, `docker compose`, Docker Hub, OCI artifacts) the substrate for building, running, and shipping agentic AI apps. The mental model is three layers: **models** (reasoning), **agents** (orchestration), and **tools** (integration), all wireable through a single `docker compose up`, with cloud GPU available when local hardware falls short. ## The pieces **Models** - [[Docker Model Runner]]: run and serve open models locally behind an OpenAI-compatible API **Agents** - [[Docker Agent]] (formerly cagent): build teams of specialized agents from YAML - [[Gordon (Docker AI Agent)]]: Docker's built-in assistant ("Ask Gordon") - [[Docker Compose for AI]]: `models` as a first-class Compose element **Tools** - [[Docker MCP Catalog]]: 300+ verified MCP servers as container images - [[Docker MCP Toolkit]]: configure MCP servers once, share across clients - [[Docker MCP Gateway]]: proxy that runs MCP servers in isolated containers with credential injection **Execution and isolation** - [[Docker Sandboxes]]: microVM isolation for running agents safely - [[Docker Offload]]: ephemeral cloud GPU when local hardware isn't enough ## Related - [[Docker]] - [[Model Context Protocol (MCP)]] - [[AI Agents]] - [[Agentic Engineering]] - [[Large Language Models (LLMs)]]