Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
Agent
A basic agent uses a predefined strategy with a simple execution flow that works for most common use cases. It accepts a string input (a question, request, or task description) and sends this input to the configured LLM. The LLM may decide to call provided tools. The agent will execute the tools and send the results…
Agent
With functional agents, you implement the logic as a function that handles user input, interacts with LLMs, calls tools if necessary, and produces the final output. Compared to graph-based agents, this usually means faster prototyping with the following downsides.
Agent
With graph-based agents, you model the behavior as an explicit state machine: nodes of a graph strategy represent actions (LLM calls, tool execution) and edges represent data flow between nodes.
Agent
AI agents are autonomous systems that can reason, make decisions, interact with the environment, and take actions to achieve a specific goal. In Koog, an AI agent is more than just a wrapper around an LLM; it is a structured, type-safe state machine designed for the JVM ecosystem.