--- title: "conduit vs OfflineLLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cogwheel0-conduit-vs-jegly-offlinellm" tools: ["cogwheel0-conduit", "jegly-offlinellm"] --- # conduit vs OfflineLLM *GraphCanon updated Sep 20, 2026* ## Verdict Pick conduit if conduit is an open-source mobile application enabling users on iOS and Android to interface with self-hosted AI services via the OpenWebUI API; 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. [conduit](https://conduit.mobile) reports 2.2k GitHub stars, 219 forks, and 71 open issues, last pushed Sep 17, 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 [conduit's repository](https://github.com/cogwheel0/conduit) and [OfflineLLM's repository](https://github.com/jegly/OfflineLLM). | | [conduit](/tools/cogwheel0-conduit.md) | [OfflineLLM](/tools/jegly-offlinellm.md) | | --- | --- | --- | | Tagline | Mobile client for OpenWebUI | Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp | | Stars | 2,158 | 240 | | Forks | 219 | 23 | | Open issues | 71 | 7 | | Language | Dart | Kotlin | | Adopt for | Conduit is an open-source mobile application enabling users on iOS and Android to interface with self-hosted AI services via the OpenWebUI API. | 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 | GPL-3.0 License | Other | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [conduit](/tools/cogwheel0-conduit.md) | [OfflineLLM](/tools/jegly-offlinellm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 2d | 32d | | Open issues (now) | 71 | 7 | | Stars delta | +213 (30d) | +36 (30d) | | Open issues delta | +8 (30d) | +7 (30d) | | Full report | [trust report](/tools/cogwheel0-conduit/trust.md) | [trust report](/tools/jegly-offlinellm/trust.md) | ## Decision facts: conduit - **Requirements:** - The application requires a recent Flutter SDK with Dart version 3.9 or newer.; - For building on Android, Java 17 and Android 7.0+ (API level 24) are necessary requirements.; - On iOS, the application supports only devices running iOS 16.0+. Xcode is required for builds. - **Adopt for:** Conduit is an open-source mobile application enabling users on iOS and Android to interface with self-hosted AI services via the OpenWebUI API. - **License detail:** GPL-3.0 License ## 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 conduit if… - conduit is primarily Dart; OfflineLLM is Kotlin. - License: conduit is GPL-3.0, OfflineLLM is Other. - Requirements: - The application requires a recent Flutter SDK with Dart version 3.9 or newer.; - For building on Android, Java 17 and Android 7.0+ (API level 24) are necessary requirements.; - On iOS, the application supports only devices running iOS 16.0+. Xcode is required for builds.. - Tags unique to conduit: mobile, ollama, openwebui, selfhosted. - - You are using a self-hosted AI service compatible with OpenWebUI, OpenAI APIs, or Ollama endpoint, and require a mobile interface for it. ### Choose OfflineLLM if… - OfflineLLM is primarily Kotlin; conduit is Dart. - License: OfflineLLM is Other, conduit is GPL-3.0. - Tags unique to OfflineLLM: android, local-llm, on-device-ai, privacy-first-ai. - Need a privacy-first solution that operates fully offline ## When NOT to use conduit - - If you aim to use proprietary AI services that do not offer OpenAI-compatible APIs or are not compatible with the endpoints supported by Conduit. - - Your development setup does not include Flutter SDK with Dart 3.9 or newer, Java 17 for Android builds, and Xcode or Android Studio. ## 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 conduit and OfflineLLM? conduit: Mobile client for OpenWebUI. 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 conduit over OfflineLLM? Choose conduit over OfflineLLM when conduit is primarily Dart; OfflineLLM is Kotlin; License: conduit is GPL-3.0, OfflineLLM is Other; Requirements: - The application requires a recent Flutter SDK with Dart version 3.9 or newer.; - For building on Android, Java 17 and Android 7.0+ (API level 24) are necessary requirements.; - On iOS, the application supports only devices running iOS 16.0+. Xcode is required for builds.; Tags unique to conduit: mobile, ollama, openwebui, selfhosted; - You are using a self-hosted AI service compatible with OpenWebUI, OpenAI APIs, or Ollama endpoint, and require a mobile interface for it. ### When should I choose OfflineLLM over conduit? Choose OfflineLLM over conduit when OfflineLLM is primarily Kotlin; conduit is Dart; License: OfflineLLM is Other, conduit is GPL-3.0; Tags unique to OfflineLLM: android, local-llm, on-device-ai, privacy-first-ai; Need a privacy-first solution that operates fully offline. ### When should I avoid conduit? - If you aim to use proprietary AI services that do not offer OpenAI-compatible APIs or are not compatible with the endpoints supported by Conduit. - Your development setup does not include Flutter SDK with Dart 3.9 or newer, Java 17 for Android builds, and Xcode or Android Studio. ### 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 conduit or OfflineLLM more popular on GitHub? conduit has more GitHub stars (2,158 vs 240). Stars measure visibility, not whether either tool fits your constraints. ### Are conduit and OfflineLLM open source? Yes - both are open-source projects on GitHub (conduit: GPL-3.0, OfflineLLM: Other). ### Where can I find alternatives to conduit or OfflineLLM? GraphCanon lists graph-backed alternatives at [conduit alternatives](/tools/cogwheel0-conduit/alternatives) and [OfflineLLM alternatives](/tools/jegly-offlinellm/alternatives) ([conduit markdown twin](/tools/cogwheel0-conduit/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/cogwheel0-conduit-vs-jegly-offlinellm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, conduit or OfflineLLM? conduit: Very 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 conduit and OfflineLLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [conduit trust report](/tools/cogwheel0-conduit/trust); [OfflineLLM trust report](/tools/jegly-offlinellm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cogwheel0-conduit`](/api/graphcanon/graph?tool=cogwheel0-conduit) - 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/_