Google's open-source framework for building, evaluating, and deploying multi-agent AI systems with Gemini and other LLMs.
Google's toolkit for building AI agents that can use Google's AI models, tools, and services.
Google Agent Development Kit (ADK) is an open-source framework designed to simplify the development of AI agents and multi-agent systems. Built by Google's DeepMind and Cloud teams, ADK provides a flexible and modular architecture that lets developers build agents powered by Gemini models or any LLM through LiteLLM integration. The framework emphasizes composability — agents can be combined into teams, pipelines, and hierarchies to tackle complex multi-step tasks.
ADK includes a rich set of built-in tools for Google Search, code execution, function calling, and RAG retrieval, plus seamless integration with MCP (Model Context Protocol) servers for extending agent capabilities. The framework provides structured agent types including LLM-powered agents, workflow agents (sequential and parallel), and custom agents, allowing developers to mix and match patterns.
A standout feature is ADK's built-in evaluation system that lets you test agent performance with metrics for trajectory accuracy, tool usage, and response quality. The development experience includes a local web UI for debugging agent interactions in real time, making it easier to understand and improve agent behavior.
ADK deploys natively to Google Cloud's Vertex AI Agent Engine for production workloads, but supports containerized deployment anywhere via Cloud Run. Session state management and memory persistence are handled through pluggable backends. The framework is production-tested at Google scale and represents Google's answer to frameworks like LangChain and CrewAI.
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Build hierarchical agent teams with sequential, parallel, and loop-based workflows. Agents can delegate to sub-agents and coordinate complex tasks.
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Test agent performance with trajectory accuracy, tool usage metrics, and response quality scoring — critical for production-grade agent development.
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Natively supports Model Context Protocol servers, allowing agents to use any MCP-compatible tool without custom integration code.
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Ships with a web-based debugging interface for testing agent interactions, inspecting tool calls, and understanding agent decision-making in real time.
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Optimized for Gemini but works with any LLM through LiteLLM, including Claude, GPT-4, and open-source models via Ollama.
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Deploy directly to Google Cloud's Vertex AI Agent Engine with managed scaling, security, and monitoring — or containerize for any environment.
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View Pricing Options →Building multi-agent systems with Gemini models
Teams needing built-in evaluation for agent quality
Google Cloud-native agent deployments
Rapid prototyping with local debugging UI
We believe in transparent reviews. Here's what Google Agent Development Kit (ADK) doesn't handle well:
ADK is more opinionated with built-in eval, local UI, and structured agent types, while LangChain is more flexible but requires more assembly. ADK has native MCP support and Google Cloud integration.
Yes. ADK supports any LLM through LiteLLM integration, including Anthropic Claude, OpenAI GPT-4, and open-source models. Some Gemini-specific features may not be available.
No. ADK runs locally for development and can be containerized for any deployment target. Vertex AI integration is optional but provides managed hosting.
Agent Engine is Google Cloud's managed service for deploying ADK agents at scale with built-in monitoring, auto-scaling, and enterprise security features.
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