Agent Development Kit (ADK)
Agent Development Kit (ADK) is Google’s open-source framework for building, evaluating, and deploying AI agents and multi-agent systems. ADK 2.0 supports graph-based workflows and SDKs across Python, TypeScript, Go, Java, and Kotlin.
ADK is a strong choice for engineering teams that want an open-source multi-agent framework, multiple language SDKs, and an optional Google Cloud deployment path.
Pricing Plans
Framework
ADK is open-source software.
Models and deployment
Model APIs, Google Cloud services, and hosting are billed separately.
Core Features
1Agent construction
- Define agents, tools, instructions, and state
- Compose multi-agent systems
- Use graph workflows for controlled execution
2Multi-language SDKs
- Python and TypeScript support
- Go, Java, and Kotlin SDK options
- Open-source development model
3Production lifecycle
- Evaluate agent behavior
- Deploy to local or cloud environments
- Integrate with Google Cloud while retaining deployment flexibility
Pros
- Strong multi-agent and workflow primitives
- Broad language coverage
- Open-source framework with a clear path into Google Cloud
Cons
- Framework adoption requires engineering and evaluation work
- Cloud examples can pull teams toward the Google ecosystem
- Production reliability still depends on model, tools, data, and observability choices
Agent Development Kit (ADK) Review
Agent Development Kit (ADK) is Google’s open-source framework for building, evaluating, and deploying AI agents and multi-agent systems. ADK 2.0 supports graph-based workflows and SDKs across Python, TypeScript, Go, Java, and Kotlin.
What Agent Development Kit (ADK) Is
Google’s open-source, deployment-flexible framework for production agents and multi-agent workflows. The product is most useful when its workflow matches the surrounding engineering process, permissions, and review model.
Core Capabilities
Multi-language SDKs
- Python and TypeScript support
- Go, Java, and Kotlin SDK options
- Open-source development model
Production lifecycle
- Evaluate agent behavior
- Deploy to local or cloud environments
- Integrate with Google Cloud while retaining deployment flexibility
Best Use Cases
- Production agent applications
- Multi-agent systems
- Teams using Google Cloud
- Cross-language agent development
Limitations
- Framework adoption requires engineering and evaluation work
- Cloud examples can pull teams toward the Google ecosystem
- Production reliability still depends on model, tools, data, and observability choices
Privacy and Operational Notes
ADK itself is a framework; privacy depends on the chosen models, tools, memory stores, telemetry, and deployment environment. Apply least privilege and evaluate traces before production use.
Agent Development Kit (ADK) Alternatives
The most relevant comparison set is OpenAI Agents SDK, Pydantic AI, LangChain, Microsoft Agent Framework. Compare the products by execution environment, model flexibility, repository access, review controls, deployment model, and total usage cost rather than by headline feature count alone.
Verdict
ADK is a strong choice for engineering teams that want an open-source multi-agent framework, multiple language SDKs, and an optional Google Cloud deployment path.
Official Sources
Best For
- Production agent applications
- Multi-agent systems
- Teams using Google Cloud
- Cross-language agent development
Not Ideal For
- Non-developers wanting a ready-made agent
- Simple one-off prompts
- Teams avoiding framework-level integration
Privacy Notes
ADK itself is a framework; privacy depends on the chosen models, tools, memory stores, telemetry, and deployment environment. Apply least privilege and evaluate traces before production use.
Update History
- Aug 14, 2026: Created from current official product information with normalized branding, pricing, capabilities, and comparison metadata.
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