Google Launches Smart Agent Development Kit for Go Language
Google Adds Go Support to Agent Development Kit (ADK)
Google has announced Go language support for its Agent Development Kit (ADK), enabling Go developers to create and manage AI agents in an idiomatic style that leverages Go's strong concurrency model and robust type system.
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Overview of the Go ADK
The Go ADK is an open-source toolkit for building modular, multi-agent systems. These agents can be organized in hierarchical structures and benefit from features such as:
- Debugging tools
- Version control integration
- Flexible deployment options
> The Agent Development Kit (ADK) is designed for developers seeking flexibility when building advanced AI agents tightly integrated with Google Cloud services.
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Code-First Agent Development
Google emphasizes a code-first approach to agent creation, where:
- Agent logic
- Tools
- Orchestration
...are all defined directly in code.
This approach provides:
- Greater flexibility
- Better testability
- Simpler version management
The ADK also ships with a built-in development UI to streamline testing, evaluation, debugging, and demonstration.
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ADK Web Development UI
ADK Web is a Node.js + Angular application accessible via a browser at:
http://localhost:4200It offers visibility into:
- Events
- Traces
- Artifacts inside the ADK runtime
As detailed by Google Relations Engineer Daniela Petruzalek, ADK Web helps teams focus on agent capabilities and tooling, allowing for rapid MVP development.
> For production workflows, developers can design custom UIs by directly interacting with the ADK runtime. Petruzalek demonstrates this with a lightweight HTML/CSS/JavaScript front-end and a Python backend using FastAPI.
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Supported Languages and Tools
The ADK ecosystem supports:
- Go
- Java
- Python
It also includes:
- OpenAI specifications
- Pre-built tools (docs) for:
- Web search with Gemini
- Code execution
- Google Cloud API integration
- Accessing third-party services
Building Custom Tools
Developers can create custom tools for specialized tasks such as:
- Database queries
- Document-specific information retrieval
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Agent2Agent (A2A) Protocol
The ADK supports the Agent2Agent (A2A) protocol:
> A primary agent can seamlessly orchestrate and delegate tasks to sub-agents — local or remote — ensuring secure and opaque interactions without exposing internal memory or proprietary logic.
A2A support is provided through an independent Go library, which can be extended to support multiple communication protocols and database backends.
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Integration with AiToEarn for Content Monetization
In modern AI-driven workflows, multi-agent coordination and effective UI/tool integration are crucial.
AiToEarn官网 is an open-source global AI content monetization platform that fits alongside ADK-based solutions. It includes:
- AI-powered content generation
- Cross-platform publishing (Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X/Twitter)
- Analytics and AI model ranking (AI模型排名)
This makes it straightforward to connect AI agent capabilities with multi-platform content workflows, optimizing both reach and revenue.
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Getting Started
- Browse sample agents in the Google ADK Samples Repository for use cases ranging from simple bots to advanced multi-agent workflows.
- Read the official documentation at google.github.io/adk-docs for comprehensive feature coverage.
- Experiment with ADK Web UI locally for rapid prototyping.
- Consider integrating AiToEarn for distribution and monetization.
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Pro Tip: Combining Go ADK’s strong concurrency features with AiToEarn’s publishing ecosystem can help you scale AI-driven projects efficiently—from development to deployment across multiple social and content platforms.
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If you want, I can prepare a quick-start Go example agent in ADK so readers can try coding immediately.
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