Docker Agent is an open-source agent orchestrator and runtime harness developed by Docker. Built in Go, it provides an execution framework designed to orchestrate AI coding workflows, manage specialized agent skills, and interface with LLM providers while leveraging Docker's container and runtime capabilities. In daily use, Docker Agent executes task-driven agent workflows directly from the terminal or automated environments. It connects to model providers (such as DeepSeek and other LLM endpoints) to process instructions, inspect repositories, triage pull requests, and execute code generation or tool-based tasks. The harness manages tool installation, automated environment setup, and structured skill execution via dedicated directories and configuration files. What distinguishes Docker Agent from standalone interactive CLI agents is its emphasis on modular skills and native runtime sandboxing. By integrating containerization concepts, OpenTelemetry-based tracing, and Wasm runtime components, it functions as an infrastructure-level harness for running and evaluating autonomous agent tasks rather than just a simple single-session terminal chatbot. Docker Agent is distributed as an open-source project on GitHub under the Docker organization, requiring users to bring their own API keys or local model endpoints for execution.
Tags: agent harness, ai agent, cli, coding agent, developer tools, OpenSource