Docker has introduced 'docker-agent', a new command-line interface (CLI) plugin designed for building, running, and sharing AI agents. This plugin allows users to define AI agents using a declarative YAML configuration, facilitating the creation of intelligent systems without requiring direct code writing.
The 'docker-agent' plugin supports a multi-agent architecture, enabling teams of specialized agents to delegate tasks automatically. It offers a rich tool ecosystem, including built-in tools and compatibility with any MCP server. The plugin is AI provider agnostic, supporting services like OpenAI, Anthropic, Gemini, AWS Bedrock, Mistral, xAI, and Docker Model Runner.
Configuration is handled via YAML, making agent definitions versionable and shareable. Advanced reasoning capabilities are included through built-in 'think', 'todo', and 'memory' tools. It also features pluggable Retrieval Augmented Generation (RAG) with options like BM25, embeddings, hybrid search, and reranking.
The 'docker-agent' CLI plugin is pre-installed with Docker Desktop version 4.63 and newer. Users can also install it via Homebrew or by downloading binary releases from GitHub. Once installed, agents can be run from YAML files, OCI registries, or generated interactively using commands like `docker agent run agent.yaml` or `docker agent new`.
This release simplifies the development and deployment of AI agents by providing a standardized, declarative approach within the Docker ecosystem. By abstracting away much of the underlying complexity, 'docker-agent' makes AI agent creation more accessible and promotes collaboration and sharing among developers.
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Docker has released 'docker-agent', a new CLI plugin that allows users to build, run, and share AI agents using declarative YAML configurations. This tool enables multi-agent orchestration and integrates with various AI providers and tool ecosystems, simplifying the creation of collaborative AI solutions.