# Agent Development Kit (ADK) for Kotlin
[](LICENSE)
[](https://search.maven.org/artifact/com.google.adk/google-adk-kotlin-core)
[](https://www.reddit.com/r/agentdevelopmentkit/)
[](https://deepwiki.com/google/adk-kotlin)
An open-source, code-first Kotlin toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Agent Development Kit (ADK) is designed for developers seeking fine-grained
control and flexibility when building advanced AI agents that are tightly
integrated with services in Google Cloud. It allows you to define agent
behavior, orchestration, and tool use directly in code, enabling robust
debugging, versioning, and deployment anywhere – from your laptop to the cloud.
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## ✨ Key Features
- **Rich Tool Ecosystem**: Utilize pre-built tools, custom functions, OpenAPI
specs, or integrate existing tools to give agents diverse capabilities, all
for tight integration with the Google ecosystem.
- **Code-First Development**: Define agent logic, tools, and orchestration
directly in Kotlin for ultimate flexibility, testability, and versioning.
- **Modular Multi-Agent Systems**: Design scalable applications by composing
multiple specialized agents into flexible hierarchies.
## 🚀 Installation
If you're using Maven, add the following to your dependencies:
```xml
com.google.adk
google-adk-kotlin-core-jvm
0.1.1
```
If you're using Gradle:
```kotlin
implementation("com.google.adk:google-adk-kotlin-core:0.1.1")
```
To instead use an unreleased version, you could use ;
see for an example illustrating this.
## 📚 Documentation
For building, evaluating, and deploying agents by follow the Kotlin
documentation & samples:
* **[Documentation](https://google.github.io/adk-docs)**
* **[Samples](https://github.com/google/adk-samples)**
## 🏁 Feature Highlight
### Same Features & Familiar Interface As Python ADK:
```kotlin
import com.google.adk.kt.agents.LlmAgent
import com.google.adk.kt.agents.Instruction
import com.google.adk.kt.models.Gemini
import com.google.adk.kt.tools.GoogleSearchTool
val rootAgent = LlmAgent(
name = "search_assistant",
description = "An assistant that can search the web.",
model = Gemini(name = "gemini-3.1-flash-lite-preview"),
instruction = Instruction("You are a helpful assistant. Answer user questions using Google Search when needed."),
tools = listOf(GoogleSearchTool())
)
```
### Development UI
Same as the beloved Python Development UI.
A built-in development UI to help you test, evaluate, debug, and showcase your agent(s).
### Evaluate Agents
Coming soon...
## 🤝 Contributing
We welcome contributions from the community! Whether it's bug reports, feature
requests, documentation improvements, or code contributions, please see our
[CONTRIBUTING.md](CONTRIBUTING.md) to get started.
## 📄 License
This project is licensed under the Apache 2.0 License - see the
[LICENSE](LICENSE) file for details.
## Preview
This feature is subject to the "Pre-GA Offerings Terms" in the General Service
Terms section of the
[Service Specific Terms](https://cloud.google.com/terms/service-terms#1). Pre-GA
features are available "as is" and might have limited support. For more
information, see the
[launch stage descriptions](https://cloud.google.com/products?hl=en#product-launch-stages).
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*Happy Agent Building!*