AI Frameworks · google

adk-go

ADK Go is Google's open-source toolkit for building AI agents in Go, designed for cloud-native applications. It provides a modular, code-first framework that works with Gemini and other LLMs, with built-in support for multi-agent systems and deployment to cloud platforms.

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Source: GitHub — github.com/google/adk-go

8.4k

GitHub stars

736

Forks

Primary language

Apache-2.0

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	google/adk-go
Owner	google
Primary language	Go
License	Apache-2.0 — OSI-approved
Stars	8.4k
Forks	736
Open issues	241
Latest release	v2.0.0 (2026-06-30)
Last updated	2026-07-07
Source	https://github.com/google/adk-go

What adk-go is

A Go SDK implementing agent orchestration patterns with tool integration, model-agnostic LLM bindings, and native concurrency support. Optimized for Gemini/Vertex AI but supports pluggable model providers; targets Cloud Run and containerized deployment.

Quickstart

Get the adk-go source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/google/adk-go.git2cd adk-go3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Cloud-native multi-agent workflows on Google Cloud

Ideal for teams deploying agent systems to Cloud Run, Compute Engine, or GKE. Leverage Go concurrency and direct Vertex AI integration for low-latency orchestration.

Building production agent systems with tool composition

Use pre-built tools, custom functions, or external integrations to create specialized agents. Code-first approach enables testability and version control for complex agent logic.

High-performance agent backends requiring concurrency

Go's goroutines and channels are native to ADK's design. Suitable for handling multiple concurrent agent threads or real-time request/response patterns.

Implementation considerations

Requires Go 1.x (exact version not specified); ensure team has Go expertise and CI/CD setup for Go projects.
Model integration via SDK; validate API keys, quota limits, and cost implications for Gemini/Vertex AI or alternative LLM providers before production rollout.
Tool registration and custom function binding must be designed for safe execution; audit sandboxing and error handling in agent workflows.
Multi-agent orchestration patterns need careful state management; design idempotency and retry logic for distributed agent interactions.
Containerization is encouraged; plan for Docker image size, Go build caching, and secrets management (API keys) in deployment.

When to avoid it — and what to weigh

Locked into non-Google cloud ecosystems — While model-agnostic, ADK is optimized for Gemini and Vertex AI. Heavy AWS or Azure agent workloads may find better-fit frameworks in their respective clouds.
Simple, single-agent chatbot applications — ADK's framework overhead suits multi-agent, orchestrated systems. A lightweight LLM client library may be more practical for straightforward chat interfaces.
Python-only development teams — ADK Go requires Go expertise. Teams without Go capacity should consider the Python ADK variant or language-agnostic solutions.
Strict open-source-only vendor constraints — Google-maintained project with potential reliance on Google Cloud services for full feature parity (Vertex AI, etc.). Some features may require commercial account.

License & commercial use

Apache License 2.0 (permissive OSI license). Exception noted for internal/httprr component, which has its own LICENSE file. Review that exception before use.

Apache 2.0 permits commercial use, modification, and distribution. No per-seat licensing or proprietary restrictions on the framework itself. However, commercial use of Gemini/Vertex AI APIs incurs Google Cloud charges and requires a commercial account; review Google Cloud terms separately.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Moderate
DEV.co fit	Strong
Assessment confidence	High

Security considerations

No explicit security audit or threat model stated in the data. Considerations: (1) Tool registration and custom functions must be validated to prevent arbitrary code execution; (2) API key handling in agent logic needs secure secret management; (3) Agent reasoning and prompt injection risks are framework-independent but require application-level safeguards; (4) No mention of audit logging or compliance features (HIPAA, SOC 2). Perform security review before handling sensitive data.

Alternatives to consider

LangChain (Python/JS)

Language-agnostic agent framework with broader ecosystem, more third-party integrations, and larger community. Use if Python or JavaScript fit better or if you need maximum flexibility outside Google Cloud.

AutoGen (Microsoft)

Multi-agent orchestration framework with conversation patterns and research-grade tooling. Consider if you prioritize agent conversation design or Microsoft cloud integration.

Anthropic SDK (Claude)

Lightweight, model-centric SDK focused on Claude API. Use if you want a simpler, API-first integration without a full orchestration framework, or if Claude is your preferred model.

Software development agency

Build on adk-go with DEV.co software developers

Start with the GitHub repository and examples, then schedule a technical review if multi-agent orchestration, Go expertise, and Google Cloud deployment align with your architecture.

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Related open-source tools

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adk-python open-multi-agent agents-cli

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adk-go FAQ

Does ADK Go require Vertex AI / Google Cloud?

No. ADK is model-agnostic and can use other LLMs via custom adapters. However, Gemini and Vertex AI are optimized and heavily documented. Using non-Google models may require more custom integration work.

Can I use ADK Go for production workloads?

Yes, if your team has Go expertise and deploys to compatible environments (Cloud Run, Kubernetes, etc.). Perform security and performance testing, especially for tool orchestration and multi-agent state management.

What Go version is required?

Not clearly stated in the data. Check the go.mod file in the repository or install documentation for minimum version; likely Go 1.18+ but requires review.

How mature is the ADK Go project compared to Python ADK?

Unknown from the data. Latest release is v2.0.0 (June 2026), suggesting recent major updates. Indirect cues (8K+ stars, active community) suggest maturity, but a direct comparison requires review of both projects' release timelines and feature parity.

Software developers & web developers for hire

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Start with the GitHub repository and examples, then schedule a technical review if multi-agent orchestration, Go expertise, and Google Cloud deployment align with your architecture.

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