--- title: "magic vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dtyq-magic-vs-moby-moby" tools: ["dtyq-magic", "moby-moby"] --- # magic vs moby *GraphCanon updated Jul 15, 2026* ## Verdict Pick magic when magic is primarily TypeScript; moby is Go; pick moby when moby is primarily Go; magic is TypeScript. [magic](https://www.magicrew.ai/) reports 4.9k GitHub stars, 539 forks, and 10 open issues, last pushed Jun 11, 2026. [moby](https://mobyproject.org/) has 72k stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [magic's repository](https://github.com/dtyq/magic) and [moby's repository](https://github.com/moby/moby). | | [magic](/tools/dtyq-magic.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | Magicrew. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system) | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 4,926 | 71,899 | | Forks | 539 | 19,126 | | Open issues | 10 | 3,821 | | Language | TypeScript | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | AI Agents, Inference & Serving, LLM Frameworks | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [magic](/tools/dtyq-magic.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 34d | 1d | | Open issues (now) | 10 | 3.8k | | Full report | [trust report](/tools/dtyq-magic/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose magic if… - magic is primarily TypeScript; moby is Go. - License: magic is Other, moby is Apache-2.0. - Tags unique to magic: agent, agi, ai, gpt. - Also covers AI Agents. ### Choose moby if… - moby is primarily Go; magic is TypeScript. - License: moby is Apache-2.0, magic is Other. - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ## When NOT to use magic - 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 moby - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - 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. ## Common questions ### What is the difference between magic and moby? magic: Magicrew. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system). moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose magic over moby? Choose magic over moby when magic is primarily TypeScript; moby is Go; License: magic is Other, moby is Apache-2.0; Tags unique to magic: agent, agi, ai, gpt; Also covers AI Agents. ### When should I choose moby over magic? Choose moby over magic when moby is primarily Go; magic is TypeScript; License: moby is Apache-2.0, magic is Other; Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I avoid magic? 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 moby? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. 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. ### Is magic or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 4,926). Stars measure visibility, not whether either tool fits your constraints. ### Are magic and moby open source? Yes - both are open-source projects on GitHub (magic: Other, moby: Apache-2.0). ### Where can I find alternatives to magic or moby? GraphCanon lists graph-backed alternatives at [magic alternatives](/tools/dtyq-magic/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([magic markdown twin](/tools/dtyq-magic/alternatives.md), [moby markdown twin](/tools/moby-moby/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/dtyq-magic-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, magic or moby? magic: Steady. moby: 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 magic and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [magic trust report](/tools/dtyq-magic/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dtyq-magic`](/api/graphcanon/graph?tool=dtyq-magic) - 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/_