ToolProduction ReadyMCP

koog

Name: koog
Rating: 3.4 (3719 reviews)
Author: JetBrains

by JetBrains

Kotlin framework for predictable, fault-tolerant multi-platform AI agents

Kotlin

Updated Feb 12, 2026

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Summary

Provides a Kotlin-first framework for building predictable, fault-tolerant AI agents across JVM, Android, iOS, and browser runtimes. Uses opinionated primitives for agent lifecycle, retrying, state management, and connector adapters to multiple LLM providers so agents behave consistently across environments. Includes integrations for common LLM backends and platform SDKs to simplify production deployment of agentic systems. See the MCP pattern for Model Context Protocol guidance, and explore scalable organization with the Agent Registry Pattern.

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Why It Matters

As agents become distributed across services and devices, predictable behaviour and consistent failure handling are crucial for trust. That consistency helps surface reliable agent track records and reduces brittle, deployment-specific failure modes that break agent-to-agent evaluations. This principle is reinforced by the Defense in Depth Pattern.

Target Use Cases

Kotlin/JVM teams building production agents that must run across backend, mobile, and browser environments with consistent behaviour, informed by the Hierarchical Multi-Agent Pattern.

How It's Used

Implementing production-ready agents with built-in retry and fault-handling across backend and mobile
Standardizing connectors to OpenAI, Anthropic, and Ollama to ensure consistent agent responses in evaluation
Running cross-platform agent prototypes that mirror production orchestration and failure modes for pre-production testing