Learn how Docker Agent + Docker Sandboxes let AI agent teams build, test, and iterate safely in isolated microVM workspaces.

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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.

Building AI Teams with Docker Sandboxes & Docker Agent

<p>The microVM isolation via Docker Sandboxes is a major unlock for production-grade agent teams. Running agents in containers is table stakes — but microVM-level boundaries mean a compromised agent literally cannot reach other agents or the host, which changes the trust model completely.</p>
<p>The role-based team setup (PM, designer, engineer, QA) maps well to how most software orgs actually work. The next hard problem is agent discovery — how do you know which specialized agent to delegate to for a given task? That’s something we’re working on with Caliber (open source): <a href="https://github.com/rely-ai-org/caliber" target="_blank" rel="noopener nofollow">https://github.com/rely-ai-org/caliber</a> — a tool for discovering and benchmarking agents by capability.</p>
