--- title: "Box vs OlliteRT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jegly-box-vs-nightmean-ollitert" tools: ["jegly-box", "nightmean-ollitert"] --- # Box vs OlliteRT *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 OlliteRT if olliteRT lets Android users run local AI inference with OpenAI-like compatibility using their devices. [Box](https://jegly.xyz) reports 843 GitHub stars, 53 forks, and 4 open issues, last pushed Sep 3, 2026. [OlliteRT](https://github.com/NightMean/OlliteRT) has 373 stars, 47 forks, and 7 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [Box's repository](https://github.com/jegly/Box) and [OlliteRT's repository](https://github.com/NightMean/OlliteRT). | | [Box](/tools/jegly-box.md) | [OlliteRT](/tools/nightmean-ollitert.md) | | --- | --- | --- | | Tagline | fully offline client-side AI suite for Android | Android-based local inference server for OpenAI-compatible LLMs | | Stars | 843 | 373 | | Forks | 53 | 47 | | Open issues | 4 | 7 | | Language | Kotlin | Kotlin | | Adopt for | Box, an offline AI suite for Android devices with capabilities in music generation and visionAI. | OlliteRT lets Android users run local AI inference with OpenAI-like compatibility using their devices | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Inference & Serving, Model Training | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Box](/tools/jegly-box.md) | [OlliteRT](/tools/nightmean-ollitert.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 16d | 0d | | Open issues (now) | 4 | 7 | | Stars delta | +96 (30d) | +227 (30d) | | Open issues delta | +1 (30d) | -1 (30d) | | Full report | [trust report](/tools/jegly-box/trust.md) | [trust report](/tools/nightmean-ollitert/trust.md) | ## Decision facts: Box - **Adopt for:** Box, an offline AI suite for Android devices with capabilities in music generation and visionAI. ## Decision facts: OlliteRT - **Adopt for:** OlliteRT lets Android users run local AI inference with OpenAI-like compatibility using their devices ## Choose when ### Choose Box if… - License: Box is Other, OlliteRT is Apache-2.0. - 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 OlliteRT if… - License: OlliteRT is Apache-2.0, Box is Other. - Tags unique to OlliteRT: kotlin-android, litert-lm, local-llm, on-device-ai. - Android phones running Android 12+ arm64-v8a are required for deployment ## 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 OlliteRT - Not suitable for devices with less than 6 GB of RAM, more is needed for performance - Avoid if device does not support arm64-v8a architecture or runs Android versions lower than 12 ## Common questions ### What is the difference between Box and OlliteRT? Box: fully offline client-side AI suite for Android. OlliteRT: Android-based local inference server for OpenAI-compatible LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose Box over OlliteRT? Choose Box over OlliteRT when License: Box is Other, OlliteRT is Apache-2.0; 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 OlliteRT over Box? Choose OlliteRT over Box when License: OlliteRT is Apache-2.0, Box is Other; Tags unique to OlliteRT: kotlin-android, litert-lm, local-llm, on-device-ai; Android phones running Android 12+ arm64-v8a are required for deployment. ### 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 OlliteRT? Not suitable for devices with less than 6 GB of RAM, more is needed for performance Avoid if device does not support arm64-v8a architecture or runs Android versions lower than 12 ### Is Box or OlliteRT more popular on GitHub? Box has more GitHub stars (843 vs 373). Stars measure visibility, not whether either tool fits your constraints. ### Are Box and OlliteRT open source? Yes - both are open-source projects on GitHub (Box: Other, OlliteRT: Apache-2.0). ### Where can I find alternatives to Box or OlliteRT? GraphCanon lists graph-backed alternatives at [Box alternatives](/tools/jegly-box/alternatives) and [OlliteRT alternatives](/tools/nightmean-ollitert/alternatives) ([Box markdown twin](/tools/jegly-box/alternatives.md), [OlliteRT markdown twin](/tools/nightmean-ollitert/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-nightmean-ollitert.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Box or OlliteRT? Box: Active. OlliteRT: 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 Box and OlliteRT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Box trust report](/tools/jegly-box/trust); [OlliteRT trust report](/tools/nightmean-ollitert/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/_