Agent Development Kit - Google's open-source AI agent development and deployment framework

What is the Agent Development Kit?

The Agent Development Kit (ADK) is Google's first open-source AI agent development toolkit. It's a code-first Python toolkit that simplifies the building, evaluation, and deployment of complex AI agents. ADK supports multi-agent architectures, enabling the construction of hierarchical applications composed of multiple specialized agents, facilitating complex coordination and delegation. It provides a rich ecosystem of tools, including pre-built tools, custom functions, and third-party library integrations. Through built-in workflow agents and LLM-driven dynamic routing, ADK allows for the flexible definition of complex workflows. It offers integrated development tools, native streaming support, built-in evaluation tools, and extensive LLM support. ADK's open-source nature lowers the barrier to entry for AI agent development, allowing developers to build fully functional AI agents in less than 100 lines of code. It boasts high flexibility and strong compatibility, supporting various LLM models.

Main functions of Agent Development Kit

• Multi-agent architectureADK supports building hierarchical applications composed of multiple specialized intelligent agents, enabling complex coordination and delegation. Developers can define intelligent agents at different levels, each focusing on a specific task, improving the overall efficiency and scalability of the system.
• Rich tool ecosystemADK provides pre-built tools (such as search and code execution), custom functions, and third-party library integration. Developers can easily extend the capabilities of intelligent agents to meet diverse needs.
• Flexible arrangementADK has built-in multiple workflow agents (such as...)SequentialAgent,ParallelAgent,LoopAgentIt supports LLM-driven dynamic routing, which can flexibly define complex workflows to meet the task requirements of different scenarios.
• Integrated Development ToolsADK provides a command-line interface (CLI) and a developer UI, supporting the running of agents, inspection of execution steps, debugging interactions, and visualization of agent definitions. It helps developers quickly develop, debug, and optimize agents.
• Native streaming supportADK supports bidirectional streaming interaction (text and audio) and seamlessly integrates with underlying capabilities such as the Gemini Developer API. This enables intelligent agents to respond to user input in real time, providing a smoother interactive experience.
• Built-in evaluation toolsADK provides tools for systematically evaluating agent performance, including assessments of final response quality and step-by-step execution trajectories. This helps developers optimize agent performance and ensure its reliability in real-world applications.
• Extensive LLM supportAlthough ADK is deeply integrated with Google's Gemini model, throughBaseLlmThe interface also supports integration with various LLMs (such as Anthropic, Meta, Mistral AI, etc.), providing developers with more choices and flexibility.
• Rapid deploymentADK supports a seamless transition from local development to cloud deployment, allowing developers to iterate quickly locally and migrate to the cloud for large-scale deployment.
• Code-first development approachADK adopts a code-first development approach, directly defining the behavior, orchestration logic, and tool usage of agents through Python code. It provides maximum control, testability, and version control, enabling developers to leverage existing software development best practices.

Project address for Agent Development Kit

• Github repository:https://github.com/google/adk-python
• Project Documentation:https://google.github.io/adk-docs/

Application scenarios of Agent Development Kit

• Customer service assistants and business process robotsADK is ideal for rapidly developing customer service assistants and business process bots. Developers can use multi-agent architectures and a rich ecosystem of tools to build agents capable of handling a variety of tasks.
• Multi-agent cooperative systemADK's multi-agent architecture supports developers in building complex collaborative systems. For example, a weather query system can include a master agent (such as...).WeatherAgentThe greeting task is delegated to a specialized greeting agent (such as...).GreetingAgentThe farewell task will be delegated to the farewell agent (such as...).FarewellAgent(It focuses on processing weather inquiries.)
• Enterprise internal tool integrationADK supports integration with a variety of external APIs and tools, enabling the creation of a "multi-AI toolkit" for internal teams.
• Interaction between intelligent agentsADK supports the Agent2Agent protocol (A2A), enabling agents to exchange information based on standard protocols.