Tool profile
JetBrains/koog
github.com
A Kotlin-based framework for building predictable, fault-tolerant AI agents across JVM, Android, iOS and browser targets.
What it does
JetBrains/koog
Koog is a Kotlin Multiplatform framework for building and running AI agents with an idiomatic, type-safe Kotlin and Java API, including graph workflows, tool use, RAG memory, streaming and MCP/ACP integration. It targets JVM and Kotlin developers building enterprise agents across backend services, Android, iOS and in-browser environments, with integrations for Spring Boot and Ktor. It is offered as an open source project with documentation and API reference.
Tags
Categories
A concise summary has not been added yet.
FAQ
Frequently asked questions
- What is JetBrains/koog?
- Koog is a Kotlin Multiplatform framework for building and running AI agents with an idiomatic, type-safe Kotlin and Java API, including graph workflows, tool use, RAG memory, streaming and MCP/ACP integration. It targets JVM and Kotlin developers building enterprise agents across backend services, Android, iOS and in-browser environments, with integrations for Spring Boot and Ktor. It is offered as an open source project with documentation and API reference.
- How much does JetBrains/koog cost?
- JetBrains/koog uses a Open source pricing model. Check the official website for current plans.
- What is JetBrains/koog used for?
- JetBrains/koog is listed on TolsAI under: Open Source.
- Where can I use JetBrains/koog?
- JetBrains/koog is available on its official website, github.com.
Explore
More in Open Source
An open-source agentic harness for a self-improving AI agent that plans and executes tasks you describe.
A vectorless, reasoning-based RAG engine that indexes documents as trees and retrieves with LLM reasoning.
A PyTorch-like Python library to build and auto-optimize LLM workflows such as chatbots, RAG and agents.
A modular web UI for generating images, video and audio with AI models like Stable Diffusion, Flux and Wan.
A step-by-step guide to designing AI systems built on LLMs, RAG, and AI agents.
Open-source AI pipeline engine for building, debugging and deploying LLM workflows and agent orchestration from your IDE.
Discussion
Discussion
Log in to join the discussion
No comments yet. Start the discussion.