--- title: "mlx-serve vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ddalcu-mlx-serve-vs-moby-moby" tools: ["ddalcu-mlx-serve", "moby-moby"] --- # mlx-serve vs moby *GraphCanon updated Jul 15, 2026* ## Verdict Pick mlx-serve when mlx-serve is primarily Zig; moby is Go; pick moby when moby is primarily Go; mlx-serve is Zig. [mlx-serve](http://mlxserve.com/) reports 283 GitHub stars, 22 forks, and 3 open issues, last pushed Jul 14, 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 [mlx-serve's repository](https://github.com/ddalcu/mlx-serve) and [moby's repository](https://github.com/moby/moby). | | [mlx-serve](/tools/ddalcu-mlx-serve.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Includes MLX Core macOS app with chat, agent mode, and tool calling. | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 283 | 71,899 | | Forks | 22 | 19,126 | | Open issues | 3 | 3,821 | | Language | Zig | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | 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._ | | [mlx-serve](/tools/ddalcu-mlx-serve.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 3 | 3.8k | | Owner type | User | Organization | | Full report | [trust report](/tools/ddalcu-mlx-serve/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose mlx-serve if… - mlx-serve is primarily Zig; moby is Go. - License: mlx-serve is MIT, moby is Apache-2.0. - Tags unique to mlx-serve: agent, anthropic-api, apple-silicon, claude code. - Also covers AI Agents. ### Choose moby if… - moby is primarily Go; mlx-serve is Zig. - License: moby is Apache-2.0, mlx-serve is MIT. - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ## When NOT to use mlx-serve - 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 mlx-serve and moby? mlx-serve: Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Includes MLX Core macOS app with chat, agent mode, and tool calling.. 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 mlx-serve over moby? Choose mlx-serve over moby when mlx-serve is primarily Zig; moby is Go; License: mlx-serve is MIT, moby is Apache-2.0; Tags unique to mlx-serve: agent, anthropic-api, apple-silicon, claude code; Also covers AI Agents. ### When should I choose moby over mlx-serve? Choose moby over mlx-serve when moby is primarily Go; mlx-serve is Zig; License: moby is Apache-2.0, mlx-serve is MIT; Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I avoid mlx-serve? 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 mlx-serve or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 283). Stars measure visibility, not whether either tool fits your constraints. ### Are mlx-serve and moby open source? Yes - both are open-source projects on GitHub (mlx-serve: MIT, moby: Apache-2.0). ### Where can I find alternatives to mlx-serve or moby? GraphCanon lists graph-backed alternatives at [mlx-serve alternatives](/tools/ddalcu-mlx-serve/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([mlx-serve markdown twin](/tools/ddalcu-mlx-serve/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/ddalcu-mlx-serve-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mlx-serve or moby? mlx-serve: Very active. 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 mlx-serve and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mlx-serve trust report](/tools/ddalcu-mlx-serve/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ddalcu-mlx-serve`](/api/graphcanon/graph?tool=ddalcu-mlx-serve) - 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/_