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Google Agent Development Kit

An SDK for building agents with Vertex AI integration, A2A protocol support, and Gemini model access for enterprise deployment.

Visit Google Agent Development KitVerified · March 6, 2026

✓ Our Verdict

Solid choice for most workflows

Use Case

You need to build scalable multi-agent systems with complex coordination, tool integration, and enterprise deployment without wiring everything from scratch.

SolutionADK enables hierarchical multi-agent orchestration, rich model/tool ecosystems via LiteLLM and Vertex AI, agent-as-tool delegation, and one-click deployment to managed Vertex AI endpoints.

Setuppip install google-adk; write Python code defining agents with models/tools; run locally or deploy to Vertex AI Agent Engine.

Excellent for production multi-agent workflows with bidirectional streaming and Google integrations; quirks include one built-in tool per root agent and no built-ins in sub-agents.

Strong orchestration and deployment

Use Case

You're locked into one model/provider and struggle to integrate diverse LLMs/tools while maintaining code-first control.

SolutionModel-agnostic connectors support Gemini, Anthropic, Mistral via LiteLLM/Vertex AI Garden, plus pre-built tools like Google Search/Code Exec and 3rd-party (LangChain/CrewAI).

SetupSpecify model in LlmAgent constructor; import/register tools; no extra infra for basics.

Seamless model switching and tool equipping; optimized for Google Cloud but runs anywhere—expect peak performance with Gemini/Vertex AI.

Model/tool flexibility

Limitation — minor

Built-in Tool Restrictions

Root agents limited to one built-in tool (e.g., Google Search or Code Exec); sub-agents cannot use built-ins at all—workaround with custom tools or agent-as-tool.

Prerequisite

Google Cloud Account

Full optimization requires Vertex AI for managed deployment, Gemini models, and enterprise connectors (BigQuery, Apigee)—local dev works but misses scalability/data integrations.

Vertex AIGemini

Google Agent Development Kit vs LangGraph

ADK offers higher-level multi-agent abstractions and managed deployment vs. LangGraph's lower-level graph focus.

Choose Google Agent Development Kit

For production-ready Vertex AI deployment and Google ecosystem integration.

Choose LangGraph

For fine-grained control in non-Google stacks without managed hosting.

Trust Breakdown

82

Trust scoreStrong

AGENT

Autonomous workflow delegation

TRUST

Transparency & verification

INTEROP

Protocol compatibility breadth

SECURITY

Security controls & audit trail

DOCS

Documentation completeness

How these scores are calculated →

What It Actually Does

In Plain English

Helps developers build AI agents that can reason through complex tasks and connect to your existing enterprise systems, with built-in support for Google's Gemini AI model.

An SDK for building agents with Vertex AI integration, A2A protocol support, and Gemini model access for enterprise deployment.

Fit Assessment

Best for

✓agent-deployment
✓model-integration
✓knowledge-retrieval
✓code-execution
✓database-query

82

Google Agent Development Kit

Strong · 82/100

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Score Breakdown

AGENT

Autonomous workflow delegation

TRUST

Transparency & verification

INTEROP

Protocol compatibility breadth

SECURITY

Security controls & audit trail

DOCS

Documentation completeness

Protocol Support

MCP✓

A2A✓

A2H✓

REST API✓

Agent-callable✓

Capabilities

Transaction capable—

ACP support—

Audit trace✓

Governance

sandboxed-execution
permission-scoping
audit-log
pii-masking
resource-limits
identity-controls
tool-registry

Pricing

Paid

$0.00994/vCPU-hr, $0.0105/GiB-hr + model usage fees

Workflow Fit

agent-deploymentmodel-integrationknowledge-retrievalcode-executiondatabase-query

Related Concepts

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Related Categories

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