Docker Agent is an open source tool for building teams of specialized AI agents, where each agent has a defined role (product manager, designer, engineer, QA). Docker Sandboxes, available in Docker Desktop 4.60+, runs these agents inside isolated microVMs providing a hard security boundary. The combination allows agents to autonomously install packages, run commands, and modify files without risking the host machine. The post walks through configuring a multi-agent dev team via YAML, launching it inside a Docker Sandbox, and demonstrates a full workflow where agents collaboratively build a Gradio bank app from a single prompt. Supported agent types include Claude Code, Gemini, Codex, Copilot, Agent, and Kiro (all experimental). MicroVM sandboxes require macOS or Windows; Linux users get legacy container-based isolation.
Table of contents
What is Docker Agent?Agent ConfigurationWhy Agent Teams MatterThe Problem: Running AI Agents SafelyDocker Sandboxes: The Secure FoundationWhy Docker Sandboxes MatterTry It YourselfCurrent LimitationsWhy This Matters NowWhat’s NextConclusion2 Comments
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