--- title: "koog vs dify" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jetbrains-koog-vs-langgenius-dify" tools: ["jetbrains-koog", "langgenius-dify"] --- # koog vs dify *GraphCanon updated Sep 20, 2026* ## Verdict Pick koog if koog offers JVM-centric AI agent development with support for wide-ranging deployment environments from Kotlin; pick dify if dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments. [koog](https://docs.koog.ai) reports 4.6k GitHub stars, 474 forks, and 195 open issues, last pushed Sep 14, 2026. [dify](https://dify.ai) has 156k stars, 25k forks, and 1.1k open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [koog's repository](https://github.com/JetBrains/koog) and [dify's repository](https://github.com/langgenius/dify). | | [koog](/tools/jetbrains-koog.md) | [dify](/tools/langgenius-dify.md) | | --- | --- | --- | | Tagline | A JVM-based framework for building enterprise-ready AI agents | Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace. | | Stars | 4,579 | 156,243 | | Forks | 474 | 24,675 | | Open issues | 195 | 1,103 | | Language | Kotlin | TypeScript | | Adopt for | Koog offers JVM-centric AI agent development with support for wide-ranging deployment environments from Kotlin. | Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 License grants permissive use with attribution requirement. | Other | | Categories | AI Agents, Developer Tools | AI Agents, Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [koog](/tools/jetbrains-koog.md) | [dify](/tools/langgenius-dify.md) | | --- | --- | --- | | Days since push | 5d | 0d | | Open issues (now) | 195 | 1.1k | | Stars delta | +64 (30d) | +4.5k (30d) | | Open issues delta | +20 (30d) | +172 (30d) | | Full report | [trust report](/tools/jetbrains-koog/trust.md) | [trust report](/tools/langgenius-dify/trust.md) | ## Decision facts: koog - **Adopt for:** Koog offers JVM-centric AI agent development with support for wide-ranging deployment environments from Kotlin. - **License detail:** Apache-2.0 License grants permissive use with attribution requirement. ## Decision facts: dify - **Adopt for:** Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments. ## Choose when ### Choose koog if… - koog is primarily Kotlin; dify is TypeScript. - License: koog is Apache-2.0, dify is Other. - Tags unique to koog: agentframework, agents, ai-agents-framework, android-ai. - Need JVM-based fault-tolerant AI agents across multiple platforms including Android, iOS, and web browsers ### Choose dify if… - dify is primarily TypeScript; koog is Kotlin. - License: dify is Other, koog is Apache-2.0. - Tags unique to dify: agent, agentic-framework, agentic-workflow, ai. - Also covers Data & Retrieval. - When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines. ## When NOT to use koog - Primarily working outside of JVM environments, such as pure Python or JavaScript projects without JVM support - Looking for an AI agent framework that does not require JDK 17 or Kotlin 2.3.10 or higher ## When NOT to use dify - If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. - When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. - If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions. ## Common questions ### What is the difference between koog and dify? koog: A JVM-based framework for building enterprise-ready AI agents. dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. See the comparison table for live GitHub stats and shared categories. ### When should I choose koog over dify? Choose koog over dify when koog is primarily Kotlin; dify is TypeScript; License: koog is Apache-2.0, dify is Other; Tags unique to koog: agentframework, agents, ai-agents-framework, android-ai; Need JVM-based fault-tolerant AI agents across multiple platforms including Android, iOS, and web browsers. ### When should I choose dify over koog? Choose dify over koog when dify is primarily TypeScript; koog is Kotlin; License: dify is Other, koog is Apache-2.0; Tags unique to dify: agent, agentic-framework, agentic-workflow, ai; Also covers Data & Retrieval; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines. ### When should I avoid koog? Primarily working outside of JVM environments, such as pure Python or JavaScript projects without JVM support Looking for an AI agent framework that does not require JDK 17 or Kotlin 2.3.10 or higher ### When should I avoid dify? If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions. ### Is koog or dify more popular on GitHub? dify has more GitHub stars (156,243 vs 4,579). Stars measure visibility, not whether either tool fits your constraints. ### Are koog and dify open source? Yes - both are open-source projects on GitHub (koog: Apache-2.0, dify: Other). ### Where can I find alternatives to koog or dify? GraphCanon lists graph-backed alternatives at [koog alternatives](/tools/jetbrains-koog/alternatives) and [dify alternatives](/tools/langgenius-dify/alternatives) ([koog markdown twin](/tools/jetbrains-koog/alternatives.md), [dify markdown twin](/tools/langgenius-dify/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/jetbrains-koog-vs-langgenius-dify.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, koog or dify? koog: Very active. dify: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for koog and dify? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [koog trust report](/tools/jetbrains-koog/trust); [dify trust report](/tools/langgenius-dify/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jetbrains-koog`](/api/graphcanon/graph?tool=jetbrains-koog) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_