--- title: "Box vs OfflineLLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jegly-box-vs-jegly-offlinellm" tools: ["jegly-box", "jegly-offlinellm"] --- # Box vs OfflineLLM *GraphCanon updated Sep 20, 2026* ## Verdict Pick Box if box, an offline AI suite for Android devices with capabilities in music generation and visionAI; pick OfflineLLM if offlineLLM provides private on-device AI chat for Android with ARM-optimised llama.cpp support, ideal for scenarios requiring privacy and offline capabilities. [Box](https://jegly.xyz) reports 843 GitHub stars, 53 forks, and 4 open issues, last pushed Sep 3, 2026. [OfflineLLM](https://jegly.xyz) has 240 stars, 23 forks, and 7 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [Box's repository](https://github.com/jegly/Box) and [OfflineLLM's repository](https://github.com/jegly/OfflineLLM). | | [Box](/tools/jegly-box.md) | [OfflineLLM](/tools/jegly-offlinellm.md) | | --- | --- | --- | | Tagline | fully offline client-side AI suite for Android | Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp | | Stars | 843 | 240 | | Forks | 53 | 23 | | Open issues | 4 | 7 | | Language | Kotlin | Kotlin | | Adopt for | Box, an offline AI suite for Android devices with capabilities in music generation and visionAI. | OfflineLLM provides private on-device AI chat for Android with ARM-optimised llama.cpp support, ideal for scenarios requiring privacy and offline capabilities. | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | Inference & Serving, Model Training | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Box](/tools/jegly-box.md) | [OfflineLLM](/tools/jegly-offlinellm.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 16d | 32d | | Open issues (now) | 4 | 7 | | Stars delta | +96 (30d) | +36 (30d) | | Open issues delta | +1 (30d) | +7 (30d) | | Full report | [trust report](/tools/jegly-box/trust.md) | [trust report](/tools/jegly-offlinellm/trust.md) | ## Decision facts: Box - **Adopt for:** Box, an offline AI suite for Android devices with capabilities in music generation and visionAI. ## Decision facts: OfflineLLM - **Adopt for:** OfflineLLM provides private on-device AI chat for Android with ARM-optimised llama.cpp support, ideal for scenarios requiring privacy and offline capabilities. ## Choose when ### Choose Box if… - Tags unique to Box: music-generation, offline-operation, visionai. - Also covers Model Training. - When targeting privacy-sensitive tasks that require full offline functionality on Android devices ### Choose OfflineLLM if… - Tags unique to OfflineLLM: local-llm, on-device-ai, privacy-first-ai, private-local-ai. - Also covers LLM Frameworks. - Need a privacy-first solution that operates fully offline ## When NOT to use Box - If your project requires access to a broad range of AI models not supported by Box - In scenarios where continuous model updates via internet are necessary for accuracy and performance ## When NOT to use OfflineLLM - Seeking real-time updates or cloud-based AI services - Prioritize integration with web-based features or platforms - Running x86 architecture, as the tool is optimised for ARM ## Common questions ### What is the difference between Box and OfflineLLM? Box: fully offline client-side AI suite for Android. OfflineLLM: Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp. See the comparison table for live GitHub stats and shared categories. ### When should I choose Box over OfflineLLM? Choose Box over OfflineLLM when Tags unique to Box: music-generation, offline-operation, visionai; Also covers Model Training; When targeting privacy-sensitive tasks that require full offline functionality on Android devices. ### When should I choose OfflineLLM over Box? Choose OfflineLLM over Box when Tags unique to OfflineLLM: local-llm, on-device-ai, privacy-first-ai, private-local-ai; Also covers LLM Frameworks; Need a privacy-first solution that operates fully offline. ### When should I avoid Box? If your project requires access to a broad range of AI models not supported by Box In scenarios where continuous model updates via internet are necessary for accuracy and performance ### When should I avoid OfflineLLM? Seeking real-time updates or cloud-based AI services Prioritize integration with web-based features or platforms Running x86 architecture, as the tool is optimised for ARM ### Is Box or OfflineLLM more popular on GitHub? Box has more GitHub stars (843 vs 240). Stars measure visibility, not whether either tool fits your constraints. ### Are Box and OfflineLLM open source? Yes - both are open-source projects on GitHub (Box: Other, OfflineLLM: Other). ### Where can I find alternatives to Box or OfflineLLM? GraphCanon lists graph-backed alternatives at [Box alternatives](/tools/jegly-box/alternatives) and [OfflineLLM alternatives](/tools/jegly-offlinellm/alternatives) ([Box markdown twin](/tools/jegly-box/alternatives.md), [OfflineLLM markdown twin](/tools/jegly-offlinellm/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-box-vs-jegly-offlinellm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Box or OfflineLLM? Box: Active. OfflineLLM: 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 Box and OfflineLLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Box trust report](/tools/jegly-box/trust); [OfflineLLM trust report](/tools/jegly-offlinellm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jegly-box`](/api/graphcanon/graph?tool=jegly-box) - 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/_