ADK Go
A code-first Go toolkit for building, evaluating, orchestrating, and deploying sophisticated AI-agent workflows.
Per-dimension scores and reasoning
Evidence shows the repository is published by Google's official organization, but no specific implementations or documentation for permission management, user confirmation, data flow transparency, sensitive data handling, dependency security, external effects, or rollback mechanisms are provided. Therefore, except for source attribution, all other criteria are scored 0 due to insufficient evidence. Source attribution scores 2 because the publisher identity is clear and the repository ownership is unambiguous.
Self-consistency scores 2 because README and go.mod are consistent in version and module path. Dependency availability scores 2 because go.mod lists many dependencies, but no availability guarantees are provided. Failure messages scores 1 because README mentions error handling in mock contexts, but no comprehensive failure message strategy is provided.
Audience and scenarios scores 1 because README mentions an Agent development toolkit for Go developers, but does not detail the target audience. Capability boundaries scores 1 because README mentions breaking changes, but does not clearly define capability boundaries. Trigger precision scores 1 because README mentions the use of context.Context, but does not detail trigger conditions. Environment fit scores 1 because go.mod and CI configuration indicate Go environment support, but no other environments are detailed.
Information architecture scores 1 because README provides breaking changes information, but no complete documentation structure. Install notes scores 1 because go.mod provides module path, but no installation steps. Naming stability scores 1 because README mentions version 2.0, but no naming conventions. Examples and FAQ scores 1 because README provides code examples, but no FAQ. Known limitations scores 1 because README mentions breaking changes, but does not explicitly list known limitations. License scores 3 because LICENSE file fully provides Apache 2.0 license. Versioning and changelog scores 1 because README mentions version 2.0, but no changelog. Maintenance responsibility scores 2 because publisher identity is clear, but no maintenance plan is provided.
Output usability scores 1 because README provides code examples, but no complete output format. Marginal value scores 1 because the toolkit provides Agent development functionality, but no comparison with other tools. Cost-benefit scores 1 because it is open-source and free, but no performance or resource consumption information is provided.
Claim traceability scores 1 because README mentions PR links, but no complete claim sources. Cross-source corroboration scores 1 because go.mod and CI configuration corroborate each other, but no external verification. Fact-inference separation scores 1 because README distinguishes breaking changes and migration advice, but does not explicitly separate facts and inferences.
- Static review cannot verify actual runtime behavior; all conclusions about security, reliability, and effectiveness are inferred from file contents.
- The repository does not provide specific implementations or documentation for security features such as permission management, user confirmation, and data flow transparency; evaluate before use.
- Many dependencies are present without a security audit report; it is recommended to run tools like govulncheck to check for dependency vulnerabilities before use.
What does this agent do, and when should you use it?
ADK Go is Google's open-source Go toolkit for building, evaluating, and deploying sophisticated AI agents. Developers define agent logic, tools, and orchestration directly in Go, making that code testable and versionable. Agents can use pre-built tools, custom functions, or integrations with existing tools, while specialized agents can be composed into multi-agent systems. The project targets cloud-native applications, supports containerization, and calls out strong support for Google Cloud Run. It is optimized for Gemini, while the README describes it as model-agnostic, deployment-agnostic, and compatible with other frameworks.
After adding google.golang.org/adk/v2 to a Go project, developers can define agent logic, tools, and orchestration in Go. Tool capabilities may come from pre-built tools, custom functions, or integrations with existing tools, and specialized agents can be composed into a multi-agent application. The repository describes its scope as building, evaluating, deploying, and orchestrating agent workflows, including containerized deployment to cloud-native environments such as Google Cloud Run. The supplied material does not identify concrete Go types, functions, runtime entrypoints, I/O formats, or a runnable first example.
- A cloud-native Go team that wants agent logic, tools, and orchestration maintained and versioned beside its existing Go services.
- An application developer building a workflow by composing several specialized agents.
- An engineering team that needs to extend agents with pre-built tools, custom Go functions, or existing tool integrations.
- A team planning to containerize a Go agent application for deployment to Google Cloud Run or another cloud-native environment.
- A developer centered on Gemini who wants the stated flexibility to choose models and deployment targets.
What are this agent's strengths and limitations?
- Go-native development: agent logic, tools, and orchestration are defined directly in Go code.
- Explicit support for modular multi-agent systems made from specialized agents.
- Tool integration spans pre-built tools, custom functions, and existing tools.
- Designed for cloud-native deployment, with containerization and explicit strong support for Google Cloud Run.
- The supplied material provides no concrete API, runnable example, or runtime entrypoint, so initial integration requires additional documentation discovery.
- Required Go version, authentication, environment variables, and model connection settings are not stated.
- Although it is described as model-agnostic, no non-Gemini provider or adapter path is documented in the supplied evidence.
- Evaluation is named as a project goal, but no evaluation interface, metric, or execution flow is shown.
How do you install or deploy this agent?
From a Go project directory, run:
go get google.golang.org/adk/v2The supplied material does not state the required Go version, credentials, environment variables, module prerequisites, or dependency setup details.
How do you use this agent?
The material says that agent logic, tools, and orchestration are defined in Go and that specialized agents can be composed, but it provides no copyable API example, first-run command, runtime entrypoint, credential configuration, or deployment configuration. A verified first invocation therefore cannot be derived from the supplied evidence alone.
How does this agent compare with similar options?
The repository links Python, Java, Kotlin, and TypeScript versions of ADK, but the supplied material does not document functional or compatibility differences from the Go version.
FAQ
Is Gemini the only model it can use?
Can it be deployed on Google Cloud Run?
What credentials are required?
What license applies?
internal/httprr as an exception with its own license file.