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ADK-Go is an open source toolkit designed to help developers build, evaluate, and deploy sophisticated AI agents using the Go programming language. It is part of the Agent Development Kit ecosystem and follows a code-first approach that allows developers to define agent behavior, tools, and orchestration logic directly in Go code. ADK-Go applies traditional software engineering principles to agent development, making it easier to structure, test, and maintain complex agent-based systems. It supports building both simple task-oriented agents and more advanced multi-agent architectures that collaborate to perform workflows. It is designed to be modular and flexible, allowing developers to integrate custom tools, external services, or existing functionality into agent workflows. Although optimized for certain AI ecosystems, ADK-Go is model-agnostic and can work with different models and deployment environments.
Features
- Code-first agent development using idiomatic Go APIs
- Modular architecture for building scalable multi-agent systems
- Integration of custom tools, functions, and external services
- Support for evaluating and orchestrating agent workflows
- Designed for containerized and cloud-native deployment environments
- Model-agnostic framework compatible with different AI models
Project Samples
