--- title: "koog vs langflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jetbrains-koog-vs-langflow-ai-langflow" tools: ["jetbrains-koog", "langflow-ai-langflow"] --- # koog vs langflow *GraphCanon updated Jul 15, 2026* ## Verdict Pick koog when koog is primarily Kotlin; langflow is Python; pick langflow when langflow is primarily Python; koog is Kotlin. [koog](https://docs.koog.ai) reports 4.4k GitHub stars, 447 forks, and 162 open issues, last pushed Jul 6, 2026. [langflow](http://www.langflow.org) has 152k stars, 9.7k forks, and 975 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [koog's repository](https://github.com/JetBrains/koog) and [langflow's repository](https://github.com/langflow-ai/langflow). | | [koog](/tools/jetbrains-koog.md) | [langflow](/tools/langflow-ai-langflow.md) | | --- | --- | --- | | Tagline | 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-brow | Langflow is a powerful tool for building and deploying AI-powered agents and workflows. | | Stars | 4,447 | 151,697 | | Forks | 447 | 9,654 | | Open issues | 162 | 975 | | Language | Kotlin | Python | | Adopt for | - | Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Inference & Serving, LLM Frameworks | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [koog](/tools/jetbrains-koog.md) | [langflow](/tools/langflow-ai-langflow.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 9d | 0d | | Open issues (now) | 162 | 975 | | Full report | [trust report](/tools/jetbrains-koog/trust.md) | [trust report](/tools/langflow-ai-langflow/trust.md) | ## Decision facts: langflow - **Adopt for:** Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach. ## Choose when ### Choose koog if… - koog is primarily Kotlin; langflow is Python. - License: koog is Apache-2.0, langflow is MIT. - Tags unique to koog: agentframework, agentic-ai, ai, ai-agents-framework. - Also covers LLM Frameworks. ### Choose langflow if… - langflow is primarily Python; koog is Kotlin. - License: langflow is MIT, koog is Apache-2.0. - Tags unique to langflow: chatgpt, generative-ai, large-language-models, multiagent. - - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge. ## When NOT to use koog - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use langflow - - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot ## Common questions ### What is the difference between koog and langflow? koog: 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-brow. langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. See the comparison table for live GitHub stats and shared categories. ### When should I choose koog over langflow? Choose koog over langflow when koog is primarily Kotlin; langflow is Python; License: koog is Apache-2.0, langflow is MIT; Tags unique to koog: agentframework, agentic-ai, ai, ai-agents-framework; Also covers LLM Frameworks. ### When should I choose langflow over koog? Choose langflow over koog when langflow is primarily Python; koog is Kotlin; License: langflow is MIT, koog is Apache-2.0; Tags unique to langflow: chatgpt, generative-ai, large-language-models, multiagent; - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge. ### When should I avoid koog? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid langflow? - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot ### Is koog or langflow more popular on GitHub? langflow has more GitHub stars (151,697 vs 4,447). Stars measure visibility, not whether either tool fits your constraints. ### Are koog and langflow open source? Yes - both are open-source projects on GitHub (koog: Apache-2.0, langflow: MIT). ### Where can I find alternatives to koog or langflow? GraphCanon lists graph-backed alternatives at [koog alternatives](/tools/jetbrains-koog/alternatives) and [langflow alternatives](/tools/langflow-ai-langflow/alternatives) ([koog markdown twin](/tools/jetbrains-koog/alternatives.md), [langflow markdown twin](/tools/langflow-ai-langflow/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-langflow-ai-langflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, koog or langflow? koog: Active. langflow: 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 langflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [koog trust report](/tools/jetbrains-koog/trust); [langflow trust report](/tools/langflow-ai-langflow/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/_