Docker releases Docker Agent CLI plugin for building AI agents as containers
Docker Engineering introduced Docker Agent, an open‑source Apache 2.0 CLI plugin that lets users define, run, and share AI agents using the same container workflow Docker popularized. Agents are described in declarative YAML (or HCL), can call models from OpenAI, Anthropic, Gemini, AWS Bedrock, Mistral, xAI, or run locally via Docker Model Runner, and are packaged and distributed through any…
Key points
- Docker Agent is an Apache‑2.0 CLI plugin that runs AI agents like containers.
- Agents are defined in YAML, support multiple model providers, and can be distributed via OCI registries.
- The tool includes schema validation, multi‑agent orchestration, and optional `--yolo` flag for unattended runs.
The tutorial walks through installing the plugin—either bundled with Docker Desktop 4.63+ or via a binary from GitHub—setting up API keys or a local model, and creating a simple Claude Sonnet 4.5‑based coding assistant. It then shows how to add toolsets such as filesystem, shell, memory, and MCP servers, and how to orchestrate multi‑agent teams where a coordinator delegates tasks to specialized sub‑agents (e.g., a GPT‑5 web researcher and a Claude writer). Configurations are validated against the official schema, and agents can be executed interactively, scripted with --exec, or shared by pushing the YAML bundle to an OCI registry.
Building AI Agents with Docker Agent
KDnuggets · 8 October 2026
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