Build Kotlin AI agents with tool calling and multi-provider LLM support.
npx skills add https://github.com/AndVl1/claude-plugin --skill koog
Please help me install this Agent Skill. Skill: koog Source: https://github.com/AndVl1/claude-plugin/tree/main/skills/koog Command: npx skills add https://github.com/AndVl1/claude-plugin --skill koog
Koog accelerates building AI agents in Kotlin by providing a cohesive framework for tool calling, LLM integration, and provider interoperability across multiplatform targets.
Instantiate a Koog-based AIAgent by wiring a PromptExecutor, LLM model, and ToolRegistry, then invoke an example task.
High-intent search queries and answers about installing and using this skill.
To build AI agents in Kotlin with tool calling, you can use a framework that provides a tool calling DSL and annotated tools. You wire a PromptExecutor, an LLM model, and a ToolRegistry together to instantiate and invoke the agent.
Yes, you can develop AI agents in Kotlin Multiplatform projects. The framework supports multiplatform targets alongside integrated tool calling and multi-provider LLM support for scalable workflows.
Supported LLM providers for Kotlin AI agents include OpenRouter, OpenAI, Anthropic, Google, and DeepSeek. You configure provider credentials to use one or more of these backends in your project.
Yes, you need a Kotlin project configured with Gradle. Setting up the project also requires access to the framework modules and valid provider credentials for your chosen LLM backends.
A prompt DSL provides a structured way to define inputs for AI agents. It works in conjunction with memory integration and an extensible tool ecosystem to manage and scale complex AI workflows.
When using multiple LLM providers in Kotlin, you must manage interoperability across different APIs. The framework handles provider integration, but you need valid credentials for each backend you intend to use.
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