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docker-docs/content/manuals/ai-overview.md
David Karlsson 0b0568a5be ai: Disambiguate Docker Agent, Gordon, and Docker Sandboxes
Add AI overview landing page with decision table and relationship overview.
Reframe Gordon as "AI-powered assistant" instead of "AI agent" to avoid
confusion with Docker Agent. Rename sandbox agent page from cagent.md to
docker-agent.md. Add cross-references where products overlap. Fix doubled
"Docker Docker Agent" in agentic AI guide.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Signed-off-by: David Karlsson <35727626+dvdksn@users.noreply.github.com>
2026-03-06 12:57:33 +01:00

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Docker AI overview Overview Docker's AI tools help you build, run, and manage AI-powered applications and workflows. 1 docker, ai, gordon, docker agent, sandboxes, model runner, mcp
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AI

Docker provides tools for working with AI across your development workflow. Each tool serves a different purpose.

Which tool do I need?

I want to... Use CLI command
Get AI help with Docker tasks (containers, images, Dockerfiles) Gordon docker ai
Run AI models locally with an OpenAI-compatible API Model Runner docker model
Connect AI tools to external services via MCP MCP Catalog and Toolkit docker mcp
Build and orchestrate custom multi-agent teams Docker Agent docker agent
Run coding agents in isolated environments Docker Sandboxes docker sandbox

How these tools relate

Gordon is Docker's built-in AI assistant. It helps with Docker-specific tasks like debugging containers, writing Dockerfiles, and managing images. You interact with it through Docker Desktop or the docker ai command.

Docker Agent is an open-source framework for defining teams of AI agents in YAML. You configure agents with specific roles, models, and tools, then run them from your terminal. Docker Agent is a general-purpose agent runtime, not specific to Docker tasks.

Docker Sandboxes provides isolated microVM environments for running coding agents. It supports multiple agents including Claude Code, Codex, Copilot, Gemini, and Docker Agent. Sandboxes is the isolation layer — the agents themselves are separate tools.

Model Runner lets you run LLMs locally. Other tools like Docker Agent can use Model Runner as a model provider.

MCP Catalog and Toolkit manages connections between AI tools and external services using the Model Context Protocol. Gordon, Docker Agent, and third-party tools can all use MCP servers configured through the Toolkit.