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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.
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 | |
| 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.
Get the adk-go source
Clone the repository and explore it locally.
git clone https://github.com/google/adk-go.gitcd adk-go# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
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 |
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.
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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adk-go FAQ
Does ADK Go require Vertex AI / Google Cloud?
Can I use ADK Go for production workloads?
What Go version is required?
How mature is the ADK Go project compared to Python ADK?
Software developers & web developers for hire
Teams bring us adk-go after the evaluation, when it needs to work in production. DEV.co delivers custom software development services — integration, hardening, monitoring, and maintenance for ai frameworks systems.
Ready to evaluate ADK Go for your team?
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.