--- title: "daytona vs koog" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/daytonaio-daytona-vs-jetbrains-koog" tools: ["daytonaio-daytona", "jetbrains-koog"] --- # daytona vs koog *GraphCanon updated Sep 20, 2026* ## Verdict Pick daytona if daytona, known for its secure and elastic infrastructure tailored specifically to run AI-generated code, stands distinct in the developer tools landscape; pick koog if koog offers JVM-centric AI agent development with support for wide-ranging deployment environments from Kotlin. [daytona](https://daytona.io) reports 72k GitHub stars, 5.6k forks, and 457 open issues, last pushed Jul 24, 2026. [koog](https://docs.koog.ai) has 4.6k stars, 474 forks, and 195 open issues, last pushed Sep 14, 2026. Figures are from public GitHub metadata via [daytona's repository](https://github.com/daytonaio/daytona) and [koog's repository](https://github.com/JetBrains/koog). | | [daytona](/tools/daytonaio-daytona.md) | [koog](/tools/jetbrains-koog.md) | | --- | --- | --- | | Tagline | Secure and Elastic Infrastructure for Running AI-Generated Code | A JVM-based framework for building enterprise-ready AI agents | | Stars | 71,746 | 4,579 | | Forks | 5,644 | 474 | | Open issues | 457 | 195 | | Language | - | Kotlin | | Adopt for | Daytona, known for its secure and elastic infrastructure tailored specifically to run AI-generated code, stands distinct in the developer tools landscape. | Koog offers JVM-centric AI agent development with support for wide-ranging deployment environments from Kotlin. | | Persona | - | - | | Runtime | - | - | | License | The license details for Daytona are unknown at present. | Apache-2.0 License grants permissive use with attribution requirement. | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [daytona](/tools/daytonaio-daytona.md) | [koog](/tools/jetbrains-koog.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 57d | 5d | | Open issues (now) | 457 | 195 | | Stars delta | -220 (30d) | +64 (30d) | | Open issues delta | +15 (30d) | +20 (30d) | | Full report | [trust report](/tools/daytonaio-daytona/trust.md) | [trust report](/tools/jetbrains-koog/trust.md) | ## Decision facts: daytona - **Pricing:** unknown - **Requirements:** While creating and managing sandboxes in Daytona, users require an API key to authenticate their requests. - **Adopt for:** Daytona, known for its secure and elastic infrastructure tailored specifically to run AI-generated code, stands distinct in the developer tools landscape. - **License detail:** The license details for Daytona are unknown at present. ## 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. ## Choose when ### Choose daytona if… - Requirements: While creating and managing sandboxes in Daytona, users require an API key to authenticate their requests.. - Tags unique to daytona: agentic-workflow, ai-runtime, ai-sandboxes, code-execution. - When your project requires running AI-generated code securely and you need an on-demand scalable environment that adjusts automatically based on demand. ### Choose koog if… - Tags unique to koog: agentframework, agentic-ai, agents, ai-agents-framework. - Need JVM-based fault-tolerant AI agents across multiple platforms including Android, iOS, and web browsers - More recently updated (last pushed Sep 14, 2026). ## When NOT to use daytona - Avoid using Daytona if you have strict requirements for the programming languages it supports, since this information is currently unknown. - Daytona might not be suitable if your development workflow does not require API access or an online dashboard, as its user interface and API integration are key components. ## 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 ## Common questions ### What is the difference between daytona and koog? daytona: Secure and Elastic Infrastructure for Running AI-Generated Code. koog: A JVM-based framework for building enterprise-ready AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose daytona over koog? Choose daytona over koog when Requirements: While creating and managing sandboxes in Daytona, users require an API key to authenticate their requests.; Tags unique to daytona: agentic-workflow, ai-runtime, ai-sandboxes, code-execution; When your project requires running AI-generated code securely and you need an on-demand scalable environment that adjusts automatically based on demand. ### When should I choose koog over daytona? Choose koog over daytona when Tags unique to koog: agentframework, agentic-ai, agents, ai-agents-framework; Need JVM-based fault-tolerant AI agents across multiple platforms including Android, iOS, and web browsers; More recently updated (last pushed Sep 14, 2026). ### When should I avoid daytona? Avoid using Daytona if you have strict requirements for the programming languages it supports, since this information is currently unknown. Daytona might not be suitable if your development workflow does not require API access or an online dashboard, as its user interface and API integration are key components. ### 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 ### Is daytona or koog more popular on GitHub? daytona has more GitHub stars (71,746 vs 4,579). Stars measure visibility, not whether either tool fits your constraints. ### Are daytona and koog open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to daytona or koog? GraphCanon lists graph-backed alternatives at [daytona alternatives](/tools/daytonaio-daytona/alternatives) and [koog alternatives](/tools/jetbrains-koog/alternatives) ([daytona markdown twin](/tools/daytonaio-daytona/alternatives.md), [koog markdown twin](/tools/jetbrains-koog/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/daytonaio-daytona-vs-jetbrains-koog.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, daytona or koog? daytona: Steady. koog: 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 daytona and koog? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [daytona trust report](/tools/daytonaio-daytona/trust); [koog trust report](/tools/jetbrains-koog/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=daytonaio-daytona`](/api/graphcanon/graph?tool=daytonaio-daytona) - 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/_