--- title: "local-llms-on-android vs Box" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dineshsoudagar-local-llms-on-android-vs-jegly-box" tools: ["dineshsoudagar-local-llms-on-android", "jegly-box"] --- # local-llms-on-android vs Box *GraphCanon updated Sep 20, 2026* ## Verdict Pick local-llms-on-android if local-llms-on-android enables offline deployment and execution of large language models on Android devices using LiteRT and ONNX Runtime for applications requiring real-time conversation; pick Box if box, an offline AI suite for Android devices with capabilities in music generation and visionAI. [local-llms-on-android](https://github.com/dineshsoudagar/local-llms-on-android) reports 419 GitHub stars, 53 forks, and 12 open issues, last pushed Aug 13, 2026. [Box](https://jegly.xyz) has 843 stars, 53 forks, and 4 open issues, last pushed Sep 3, 2026. Figures are from public GitHub metadata via [local-llms-on-android's repository](https://github.com/dineshsoudagar/local-llms-on-android) and [Box's repository](https://github.com/jegly/Box). | | [local-llms-on-android](/tools/dineshsoudagar-local-llms-on-android.md) | [Box](/tools/jegly-box.md) | | --- | --- | --- | | Tagline | Run local LLMs for offline chat and question answering on Android. | fully offline client-side AI suite for Android | | Stars | 419 | 843 | | Forks | 53 | 53 | | Open issues | 12 | 4 | | Language | Kotlin | Kotlin | | Adopt for | local-llms-on-android enables offline deployment and execution of large language models on Android devices using LiteRT and ONNX Runtime for applications requiring real-time conversation. | Box, an offline AI suite for Android devices with capabilities in music generation and visionAI. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | Inference & Serving, Model Training | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [local-llms-on-android](/tools/dineshsoudagar-local-llms-on-android.md) | [Box](/tools/jegly-box.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 37d | 16d | | Open issues (now) | 12 | 4 | | Stars delta | +38 (30d) | +96 (30d) | | Open issues delta | 0 (30d) | +1 (30d) | | Full report | [trust report](/tools/dineshsoudagar-local-llms-on-android/trust.md) | [trust report](/tools/jegly-box/trust.md) | ## Decision facts: local-llms-on-android - **Requirements:** Supports deployment on Android devices using Kotlin programming language with LiteRT engine and ONNX Runtime for inference. - **Adopt for:** local-llms-on-android enables offline deployment and execution of large language models on Android devices using LiteRT and ONNX Runtime for applications requiring real-time conversation. ## Decision facts: Box - **Adopt for:** Box, an offline AI suite for Android devices with capabilities in music generation and visionAI. ## Choose when ### Choose local-llms-on-android if… - License: local-llms-on-android is MIT, Box is Other. - Requirements: Supports deployment on Android devices using Kotlin programming language with LiteRT engine and ONNX Runtime for inference.. - Tags unique to local-llms-on-android: chatbot, gemma4, huggingface-tokenizers, litert. - To enable offline chat and question answering capabilities, particularly when Gemma, Qwen, or LLaMA are the preferred model architectures. ### Choose Box if… - License: Box is Other, local-llms-on-android is MIT. - Tags unique to Box: music-generation, offline-operation, visionai. - When targeting privacy-sensitive tasks that require full offline functionality on Android devices ## When NOT to use local-llms-on-android - If real-time connection with internet-based services is necessary for chatbot operation and interaction. - In scenarios where the model's computational requirements exceed the capabilities of the target Android device, possibly leading to performance issues or excessive battery drain. ## 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 ## Common questions ### What is the difference between local-llms-on-android and Box? local-llms-on-android: Run local LLMs for offline chat and question answering on Android.. Box: fully offline client-side AI suite for Android. See the comparison table for live GitHub stats and shared categories. ### When should I choose local-llms-on-android over Box? Choose local-llms-on-android over Box when License: local-llms-on-android is MIT, Box is Other; Requirements: Supports deployment on Android devices using Kotlin programming language with LiteRT engine and ONNX Runtime for inference.; Tags unique to local-llms-on-android: chatbot, gemma4, huggingface-tokenizers, litert; To enable offline chat and question answering capabilities, particularly when Gemma, Qwen, or LLaMA are the preferred model architectures. ### When should I choose Box over local-llms-on-android? Choose Box over local-llms-on-android when License: Box is Other, local-llms-on-android is MIT; Tags unique to Box: music-generation, offline-operation, visionai; When targeting privacy-sensitive tasks that require full offline functionality on Android devices. ### When should I avoid local-llms-on-android? If real-time connection with internet-based services is necessary for chatbot operation and interaction. In scenarios where the model's computational requirements exceed the capabilities of the target Android device, possibly leading to performance issues or excessive battery drain. ### 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 ### Is local-llms-on-android or Box more popular on GitHub? Box has more GitHub stars (843 vs 419). Stars measure visibility, not whether either tool fits your constraints. ### Are local-llms-on-android and Box open source? Yes - both are open-source projects on GitHub (local-llms-on-android: MIT, Box: Other). ### Where can I find alternatives to local-llms-on-android or Box? GraphCanon lists graph-backed alternatives at [local-llms-on-android alternatives](/tools/dineshsoudagar-local-llms-on-android/alternatives) and [Box alternatives](/tools/jegly-box/alternatives) ([local-llms-on-android markdown twin](/tools/dineshsoudagar-local-llms-on-android/alternatives.md), [Box markdown twin](/tools/jegly-box/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/dineshsoudagar-local-llms-on-android-vs-jegly-box.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, local-llms-on-android or Box? local-llms-on-android: Steady. Box: 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 local-llms-on-android and Box? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [local-llms-on-android trust report](/tools/dineshsoudagar-local-llms-on-android/trust); [Box trust report](/tools/jegly-box/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dineshsoudagar-local-llms-on-android`](/api/graphcanon/graph?tool=dineshsoudagar-local-llms-on-android) - 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/_