The Agent Development Kit (ADK) for Rust is designed for building AI agents, particularly optimized for the Google ecosystem but flexible enough to work with various models and deployment methods. It supports quick setup with a straightforward example that allows developers to create a basic AI agent in under five minutes. The example uses the `GeminiModel`, demonstrating how to initialize an agent and run it interactively via a console. Installation requires adding specific dependencies to the `Cargo.toml` file, including `adk-rust`, `tokio`, and `dotenv` for environment variable management. The framework offers different feature presets: the full version includes all capabilities, while minimal and custom options allow developers to select only what they need for their projects. ADK-Rust supports several agent types, including `LlmAgent` for reasoning and various workflow agents like `SequentialAgent` and `ParallelAgent`, which handle multi-step processes. Developers can enhance agent functionality through built-in tools like `GoogleSearchTool` and custom function tools. The framework also facilitates session management, allowing agents to maintain conversation context and state. Callbacks can modify agent behavior, and artifacts can be stored and retrieved easily. For deployment, ADK-Rust supports both console mode for interactive use and server mode for REST API integration, providing endpoints for chat, session management, and health checks. The architecture is layered, promoting modularity and ease of integration, with built-in observability through OpenTelemetry for monitoring agent performance in production.