--- title: "OfflineLLM vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jegly-offlinellm-vs-moby-moby" tools: ["jegly-offlinellm", "moby-moby"] --- # OfflineLLM vs moby *GraphCanon updated Jul 15, 2026* ## Verdict Pick OfflineLLM when offlineLLM is primarily Kotlin; moby is Go; pick moby when moby is primarily Go; OfflineLLM is Kotlin. [OfflineLLM](https://jegly.xyz) reports 190 GitHub stars, 16 forks, and 0 open issues, last pushed Jul 10, 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 [OfflineLLM's repository](https://github.com/jegly/OfflineLLM) and [moby's repository](https://github.com/moby/moby). | | [OfflineLLM](/tools/jegly-offlinellm.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | Private on-device AI chat for Android, runs any GGUF model locally via llama.cpp with ARM-optimised SIMD. Zero network permissions, encrypted settings, biometric lock, tamper detection. + GPU Accelera | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 190 | 71,899 | | Forks | 16 | 19,126 | | Open issues | 0 | 3,821 | | Language | Kotlin | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Computer Vision, Inference & Serving, LLM Frameworks | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OfflineLLM](/tools/jegly-offlinellm.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Days since push | 5d | 1d | | Open issues (now) | 0 | 3.8k | | Owner type | User | Organization | | Full report | [trust report](/tools/jegly-offlinellm/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose OfflineLLM if… - OfflineLLM is primarily Kotlin; moby is Go. - License: OfflineLLM is Other, moby is Apache-2.0. - Tags unique to OfflineLLM: android, android-ai, android-ai-app, android-llm. - Also covers Computer Vision. ### Choose moby if… - moby is primarily Go; OfflineLLM is Kotlin. - License: moby is Apache-2.0, OfflineLLM 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 OfflineLLM - 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 OfflineLLM and moby? OfflineLLM: Private on-device AI chat for Android, runs any GGUF model locally via llama.cpp with ARM-optimised SIMD. Zero network permissions, encrypted settings, biometric lock, tamper detection. + GPU Accelera. 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 OfflineLLM over moby? Choose OfflineLLM over moby when OfflineLLM is primarily Kotlin; moby is Go; License: OfflineLLM is Other, moby is Apache-2.0; Tags unique to OfflineLLM: android, android-ai, android-ai-app, android-llm; Also covers Computer Vision. ### When should I choose moby over OfflineLLM? Choose moby over OfflineLLM when moby is primarily Go; OfflineLLM is Kotlin; License: moby is Apache-2.0, OfflineLLM 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 OfflineLLM? 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 OfflineLLM or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 190). Stars measure visibility, not whether either tool fits your constraints. ### Are OfflineLLM and moby open source? Yes - both are open-source projects on GitHub (OfflineLLM: Other, moby: Apache-2.0). ### Where can I find alternatives to OfflineLLM or moby? GraphCanon lists graph-backed alternatives at [OfflineLLM alternatives](/tools/jegly-offlinellm/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([OfflineLLM markdown twin](/tools/jegly-offlinellm/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/jegly-offlinellm-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OfflineLLM or moby? OfflineLLM: 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 OfflineLLM and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OfflineLLM trust report](/tools/jegly-offlinellm/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jegly-offlinellm`](/api/graphcanon/graph?tool=jegly-offlinellm) - 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/_