Agent Development Kit
Last Updated on: Feb 20, 2026
Agent Development Kit
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What is Agent Development Kit?
Agent Development Kit (ADK) is a flexible, open-source framework from Google for developing and deploying AI agents, optimized for Gemini and the Google ecosystem but model-agnostic and compatible with other frameworks. It treats agent development like software engineering with modular components for single or multi-agent systems, supporting hierarchical coordination, LLM-driven delegation, and rich tools including pre-built like search and code execution, custom functions, third-party integrations, and agents as tools. Developers benefit from workflow orchestration via Sequential, Parallel, Loop agents or dynamic LlmAgent transfer, built-in evaluation of responses and trajectories, native multimodal streaming for text/audio, CLI and Developer UI for debugging/visualization, containerized deployment to Vertex AI Agent Engine, Cloud Run, or Docker, and security patterns for safe agents. Available in Python, TypeScript, Go, Java with quick starts.
Who can use Agent Development Kit & how?
  • AI Developers: Build modular agents with tools and orchestration patterns easily.
  • Software Engineers: Create production multi-agent apps like traditional software.
  • Enterprise Teams: Deploy scalable agents on Vertex AI for customer engagement.
  • Researchers: Evaluate agent performance with built-in test cases and metrics.
  • Product Builders: Integrate with Google Workspace, CRMs for productivity bots.

How to Use Agent Development Kit?
  • Install SDK: Use pip for Python, npm for TypeScript, or Maven for Java from GitHub.
  • Define Agents: Create LlmAgent with model, instructions, tools like Google Search.
  • Orchestrate Workflows: Compose with sub-agents, Sequential/Parallel/Loop for hierarchies.
  • Test & Deploy: Run via CLI/UI, evaluate locally, containerize for Vertex AI or Docker.
What's so unique or special about Agent Development Kit?
  • Multi-Agent Hierarchies: Delegate tasks via LLM transfer or explicit AgentTool calls.
  • Rich Tool Integration: Custom functions, APIs, databases, long-running async tools.
  • Built-in Evaluation: Test final responses and execution steps against datasets.
  • Developer Tooling: CLI, UI for debugging, streaming, multimodal support.
  • Deployment Flexibility: Local, Vertex AI Engine, Cloud Run, Docker agnostic.
Things We Like
  • Makes complex multi-agent builds feel like regular coding.
  • Model-agnostic with strong Gemini optimization.
  • Full lifecycle from eval to secure deployment.
  • Open-source across Python, TS, Go, Java SDKs.
Things We Don't Like
  • Steep learning for orchestration patterns initially.
  • Best features shine in Google Cloud ecosystem.
  • Limited non-Gemini model integrations out-of-box.
  • Docs heavy on examples over simple intros.
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FAQs

ADK is Google's open-source framework for building, testing, and deploying AI agents like software development.
Python, TypeScript, Go, and Java with shared concepts across SDKs.
Yes, optimized for Gemini but works with other LLMs and frameworks like LangChain.
Via hierarchical sub-agents, LLM-driven transfer, or AgentTool invocations.
Local dev UI/CLI, Vertex AI Agent Engine, Cloud Run, Docker containers.

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