--- title: "BodhiApp vs OfflineLLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-jegly-offlinellm" tools: ["bodhisearch-bodhiapp", "jegly-offlinellm"] --- # BodhiApp vs OfflineLLM *GraphCanon updated Sep 20, 2026* ## Verdict Pick BodhiApp if bodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods; 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. [BodhiApp](https://getbodhi.app/) reports 139 GitHub stars, 11 forks, and 12 open issues, last pushed Sep 20, 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 [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [OfflineLLM's repository](https://github.com/jegly/OfflineLLM). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [OfflineLLM](/tools/jegly-offlinellm.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp | | Stars | 139 | 240 | | Forks | 11 | 23 | | Open issues | 12 | 7 | | Language | TypeScript | Kotlin | | Adopt for | BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods. | 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 | The license information for BodhiApp has not been provided. | Other | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [OfflineLLM](/tools/jegly-offlinellm.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 32d | | Open issues (now) | 12 | 7 | | Stars delta | +3 (30d) | +36 (30d) | | Open issues delta | +2 (30d) | +7 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/jegly-offlinellm/trust.md) | ## Decision facts: BodhiApp - **Pricing:** unknown - Pricing details are not mentioned in the repository data. - **Requirements:** Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen. - **Adopt for:** BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods. - **License detail:** The license information for BodhiApp has not been provided. ## 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 BodhiApp if… - BodhiApp is primarily TypeScript; OfflineLLM is Kotlin. - Pricing: Pricing details are not mentioned in the repository data.. - Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen.. - Tags unique to BodhiApp: gemma, generative-ai, llama, llm. - You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### Choose OfflineLLM if… - OfflineLLM is primarily Kotlin; BodhiApp is TypeScript. - Tags unique to OfflineLLM: android, on-device-ai, privacy-first-ai, private-local-ai. - Need a privacy-first solution that operates fully offline ## When NOT to use BodhiApp - Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models. - If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods. - You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems. ## 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 BodhiApp and OfflineLLM? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. 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 BodhiApp over OfflineLLM? Choose BodhiApp over OfflineLLM when BodhiApp is primarily TypeScript; OfflineLLM is Kotlin; Pricing: Pricing details are not mentioned in the repository data.; Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen.; Tags unique to BodhiApp: gemma, generative-ai, llama, llm; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### When should I choose OfflineLLM over BodhiApp? Choose OfflineLLM over BodhiApp when OfflineLLM is primarily Kotlin; BodhiApp is TypeScript; Tags unique to OfflineLLM: android, on-device-ai, privacy-first-ai, private-local-ai; Need a privacy-first solution that operates fully offline. ### When should I avoid BodhiApp? Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models. If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods. You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems. ### 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 BodhiApp or OfflineLLM more popular on GitHub? OfflineLLM has more GitHub stars (240 vs 139). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and OfflineLLM open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or OfflineLLM? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [OfflineLLM alternatives](/tools/jegly-offlinellm/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/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/bodhisearch-bodhiapp-vs-jegly-offlinellm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or OfflineLLM? BodhiApp: 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 BodhiApp and OfflineLLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [OfflineLLM trust report](/tools/jegly-offlinellm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bodhisearch-bodhiapp`](/api/graphcanon/graph?tool=bodhisearch-bodhiapp) - 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/_