--- title: "daytona vs magic" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/daytonaio-daytona-vs-dtyq-magic" tools: ["daytonaio-daytona", "dtyq-magic"] --- # daytona vs magic *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 magic if magic is an open-source suite combining AI agents with workflow management and collaboration tools like instant messaging. [daytona](https://daytona.io) reports 72k GitHub stars, 5.6k forks, and 457 open issues, last pushed Jul 24, 2026. [magic](https://www.magicrew.ai/) has 5.0k stars, 561 forks, and 17 open issues, last pushed Aug 12, 2026. Figures are from public GitHub metadata via [daytona's repository](https://github.com/daytonaio/daytona) and [magic's repository](https://github.com/dtyq/magic). | | [daytona](/tools/daytonaio-daytona.md) | [magic](/tools/dtyq-magic.md) | | --- | --- | --- | | Tagline | Secure and Elastic Infrastructure for Running AI-Generated Code | All-in-one AI productivity platform | | Stars | 71,746 | 5,027 | | Forks | 5,644 | 561 | | Open issues | 457 | 17 | | Language | - | TypeScript | | Adopt for | Daytona, known for its secure and elastic infrastructure tailored specifically to run AI-generated code, stands distinct in the developer tools landscape. | Magic is an open-source suite combining AI agents with workflow management and collaboration tools like instant messaging. | | Persona | - | - | | Runtime | - | - | | License | The license details for Daytona are unknown at present. | Magic Open Source License based on Apache 2.0 with additional restrictions, ensuring modifications are open but retaining copyrights and disclaimers as per the license. | | 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) | [magic](/tools/dtyq-magic.md) | | --- | --- | --- | | Days since push | 57d | 33d | | Open issues (now) | 457 | 17 | | Stars delta | -220 (30d) | +48 (30d) | | Open issues delta | +15 (30d) | +3 (30d) | | Full report | [trust report](/tools/daytonaio-daytona/trust.md) | [trust report](/tools/dtyq-magic/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: magic - **Requirements:** Requires Docker - **Adopt for:** Magic is an open-source suite combining AI agents with workflow management and collaboration tools like instant messaging. - **License detail:** Magic Open Source License based on Apache 2.0 with additional restrictions, ensuring modifications are open but retaining copyrights and disclaimers as per the license. ## 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 magic if… - Requirements: Requires Docker. - Tags unique to magic: agent, agi, ai, gpt. - When a diverse set of functionalities under one platform is required for managing workflows, automating tasks, and enabling seamless communication among team members. ## 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 magic - When focused exclusively on a specialized aspect of AI development like model training, as Magic offers an all-in-one solution which might add unnecessary complexity. - For users requiring immediate Windows OS compatibility without waiting for upcoming support releases, given that Windows is not currently supported in self-hosted setups. ## Common questions ### What is the difference between daytona and magic? daytona: Secure and Elastic Infrastructure for Running AI-Generated Code. magic: All-in-one AI productivity platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose daytona over magic? Choose daytona over magic 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 magic over daytona? Choose magic over daytona when Requirements: Requires Docker; Tags unique to magic: agent, agi, ai, gpt; When a diverse set of functionalities under one platform is required for managing workflows, automating tasks, and enabling seamless communication among team members. ### 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 magic? When focused exclusively on a specialized aspect of AI development like model training, as Magic offers an all-in-one solution which might add unnecessary complexity. For users requiring immediate Windows OS compatibility without waiting for upcoming support releases, given that Windows is not currently supported in self-hosted setups. ### Is daytona or magic more popular on GitHub? daytona has more GitHub stars (71,746 vs 5,027). Stars measure visibility, not whether either tool fits your constraints. ### Are daytona and magic open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to daytona or magic? GraphCanon lists graph-backed alternatives at [daytona alternatives](/tools/daytonaio-daytona/alternatives) and [magic alternatives](/tools/dtyq-magic/alternatives) ([daytona markdown twin](/tools/daytonaio-daytona/alternatives.md), [magic markdown twin](/tools/dtyq-magic/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-dtyq-magic.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, daytona or magic? daytona: Steady. magic: Steady. 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 magic? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [daytona trust report](/tools/daytonaio-daytona/trust); [magic trust report](/tools/dtyq-magic/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/_