Google ADK-Go: Build AI Agents in Go Tutorial (2025)

Google launched ADK-Go (Agent Development Kit for Go) in November 2025, bringing production-ready AI agent development natively to the Go ecosystem. Trending number two on GitHub today with 5,700 stars, ADK-Go lets Go developers build multi-agent AI systems using idiomatic Go patterns—no Python wrappers required. Backend teams locked out of the AI agent boom dominated by Python frameworks now have a first-class option leveraging Go’s concurrency and type safety.

The Go AI Gap

Python owns the AI agent space. LangChain: 80,000-plus stars. AutoGen and CrewAI dominate multi-agent frameworks. Go developers have been stuck with Python wrappers or ports that never feel native.

Your backend runs on Go’s goroutines. Your services rely on Go’s type safety. Why should your AI agents live in Python? Google’s ADK-Go is the first framework treating Go as a first-class citizen for AI agent development. It’s not a port—it’s purpose-built for production-ready multi-agent systems.

What ADK-Go Offers

ADK-Go takes a code-first approach: no YAML configs, no external platforms. You define agent logic, tools, and orchestration directly in Go code for testability, version control, and compile-time safety.

The framework implements the Agent-to-Agent (A2A) protocol for multi-agent orchestration. A primary agent delegates tasks to specialized sub-agents while maintaining secure communication. You get three workflow patterns: SequentialAgent executes sub-agents in order, ParallelAgent runs multiple concurrently (perfect for goroutines), and LoopAgent repeats until a condition is met.

ADK-Go ships with MCP Toolbox support for over 30 databases out of the box. Define custom Go functions as tools or integrate existing APIs via OpenAPI specs.

Production deployment is one command: adk deploy pushes your agents to Vertex AI Agent Engine, Google’s managed runtime with enterprise features—private VPC, customer-managed encryption, HIPAA compliance.

Build Your First AI Agent in Go

Install with go get google.golang.org/adk. A simple agent looks like Go code because it is:

import "google.golang.org/adk"

agent := adk.NewAgent("customerAgent")
  .WithTool(database.Query)
  .WithModel("gemini-2.0")

response := agent.Run("Find all customers in NYC")

Multi-agent workflows build on this foundation:

workflow := adk.SequentialAgent(
  dataAgent,    // Fetch data first
  analyzerAgent // Then analyze
)

Community tutorials and step-by-step guides cover Cloud Run deployment and advanced patterns.

When to Use ADK-Go

ADK-Go is the right tool when your infrastructure is already Go: backend teams using Go, concurrent workflows with high performance, Google Cloud infrastructure, or type safety critical for production.

Consider alternatives if you’re Python-first with LangChain expertise or on Microsoft Azure (Semantic Kernel). The AI agent framework landscape offers options, but ADK-Go’s advantage is singular: Go-native, production-ready, with direct Google Cloud deployment.

Multi-agent systems aren’t just for research anymore—enterprises report 88 percent positive ROI on agentic AI. If your backend is Go, your agents should be too.

What’s Next

ADK-Go hit 5,700 stars with 376 forks in less than a month. Documentation lives at google.github.io/adk-docs. Go developers finally have a first-class option for AI agents: no wrappers, no compromises, just Go building robust, concurrent systems with AI.