Koog: Kotlin Framework for AI Agents

Koog: The Official Kotlin Framework for Building Powerful AI Agents

JetBrains has unveiled Koog, a groundbreaking open-source Kotlin framework designed to simplify and enhance the development of AI agents. This framework is built to create robust, scalable, and production-ready AI agents that can operate seamlessly across a wide array of platforms, from backend services and mobile applications (Android and iOS) to JVM environments and even in-browser experiences using WebAssembly.

Koog draws upon JetBrains' extensive expertise in AI products, offering proven solutions for intricate Large Language Model (LLM) and AI-related challenges. Its core philosophy is to allow developers to build AI agents entirely in idiomatic Kotlin, making the process more natural and efficient.

Key Features and Capabilities:

• Pure Kotlin Implementation: Develop AI agents using the full power and expressiveness of Kotlin.
• Multiplatform Support: Deploy your agents on JVM, JavaScript, WasmJS, and iOS targets thanks to Kotlin Multiplatform.
• LLM Provider Integration: Seamlessly connect with various LLM providers including Google, OpenAI, Anthropic, OpenRouter, and Ollama.
• MCP Integration: Benefit from Model Context Protocol integration for advanced model management.
• Embedding Capabilities: Utilize vector embeddings for sophisticated semantic search and knowledge retrieval.
• Custom Tool Creation: Extend agent functionality by building custom tools that interact with external systems and APIs.
• Intelligent History Compression: Optimize token usage and maintain crucial conversation context with multiple pre-built compression strategies.
• Powerful Streaming API: Process LLM responses in real-time with efficient streaming support and parallel tool calls.
• Persistent Agent Memory: Enable agents to retain knowledge across sessions and even share memory between different agents.
• Comprehensive Tracing: Debug and monitor agent execution with detailed and configurable tracing mechanisms.
• Flexible Graph Workflows: Design complex agent behaviors using an intuitive, graph-based workflow system.
• Modular Feature System: Customize and extend agent capabilities through a composable and modular architecture.
• Scalable Architecture: Built to handle diverse workloads, from simple chatbots to enterprise-level applications.

Getting Started with Koog:

Koog provides straightforward integration methods for popular build tools.

For Gradle (Kotlin DSL):

dependencies {
    implementation("ai.koog:koog-agents:0.4.1") // Use the latest version
}

Ensure mavenCentral() is included in your project's repositories.

**For Gradle (Groovy): **

dependencies {
    implementation 'ai.koog:koog-agents:0.4.1' // Use the latest version
}

Again, confirm mavenCentral() is in your repositories.

For Maven:

<dependency>
    <groupId>ai.koog</groupId>
    <artifactId>koog-agents-jvm</artifactId>
    <version>0.4.1</version> <!-- Use the latest version -->
</dependency>

Make sure mavenCentral() is configured in your pom.xml.

Koog is more than just a framework; it's a comprehensive ecosystem empowering developers to push the boundaries of what's possible with AI agents, all within the elegant and powerful Kotlin language. Whether you're building a conversational AI, an automation tool, or a complex reasoning system, Koog offers the flexibility and scalability needed for success.