--- title: "moby vs LLM-Hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-timmyy123-llm-hub" tools: ["moby-moby", "timmyy123-llm-hub"] --- # moby vs LLM-Hub *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when moby is primarily Go; LLM-Hub is C++; pick LLM-Hub when lLM-Hub is primarily C++; moby is Go. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [LLM-Hub](https://llm-hub.app) has 491 stars, 103 forks, and 31 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [LLM-Hub's repository](https://github.com/timmyy123/LLM-Hub). | | [moby](/tools/moby-moby.md) | [LLM-Hub](/tools/timmyy123-llm-hub.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | Local AI Assistant on your phone | | Stars | 71,899 | 491 | | Forks | 19,126 | 103 | | Open issues | 3,821 | 31 | | Language | Go | C++ | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Developer Tools, Inference & Serving, LLM Frameworks | AI Agents, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [LLM-Hub](/tools/timmyy123-llm-hub.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 3.8k | 31 | | Owner type | Organization | User | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/timmyy123-llm-hub/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; LLM-Hub is C++. - License: moby is Apache-2.0, LLM-Hub is Other. - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose LLM-Hub if… - LLM-Hub is primarily C++; moby is Go. - License: LLM-Hub is Other, moby is Apache-2.0. - Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4. - Also covers AI Agents. ## 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. ## When NOT to use LLM-Hub - 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. ## Common questions ### What is the difference between moby and LLM-Hub? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. LLM-Hub: Local AI Assistant on your phone. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over LLM-Hub? Choose moby over LLM-Hub when moby is primarily Go; LLM-Hub is C++; License: moby is Apache-2.0, LLM-Hub 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 choose LLM-Hub over moby? Choose LLM-Hub over moby when LLM-Hub is primarily C++; moby is Go; License: LLM-Hub is Other, moby is Apache-2.0; Tags unique to LLM-Hub: ai, gemma3, gemma3n, gemma4; Also covers AI Agents. ### 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. ### When should I avoid LLM-Hub? 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. ### Is moby or LLM-Hub more popular on GitHub? moby has more GitHub stars (71,899 vs 491). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and LLM-Hub open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, LLM-Hub: Other). ### Where can I find alternatives to moby or LLM-Hub? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [LLM-Hub alternatives](/tools/timmyy123-llm-hub/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [LLM-Hub markdown twin](/tools/timmyy123-llm-hub/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/moby-moby-vs-timmyy123-llm-hub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or LLM-Hub? moby: Very active. LLM-Hub: 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 moby and LLM-Hub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [LLM-Hub trust report](/tools/timmyy123-llm-hub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=moby-moby`](/api/graphcanon/graph?tool=moby-moby) - 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/_