--- title: "OfflineLLM vs llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jegly-offlinellm-vs-simonw-llm" tools: ["jegly-offlinellm", "simonw-llm"] --- # OfflineLLM vs llm *GraphCanon updated Aug 13, 2026* ## Verdict 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; pick llm if decision-critical facts for 'llm'. [OfflineLLM](https://jegly.xyz) reports 204 GitHub stars, 21 forks, and 0 open issues, last pushed Jul 10, 2026. [llm](https://llm.datasette.io) has 12k stars, 939 forks, and 664 open issues, last pushed Aug 5, 2026. Figures are from public GitHub metadata via [OfflineLLM's repository](https://github.com/jegly/OfflineLLM) and [llm's repository](https://github.com/simonw/llm). | | [OfflineLLM](/tools/jegly-offlinellm.md) | [llm](/tools/simonw-llm.md) | | --- | --- | --- | | Tagline | Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp | Access large language models from the command-line | | Stars | 204 | 12,324 | | Forks | 21 | 939 | | Open issues | 0 | 664 | | Language | Kotlin | Python | | 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. | Decision-critical facts for 'llm' | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OfflineLLM](/tools/jegly-offlinellm.md) | [llm](/tools/simonw-llm.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 33d | 2d | | Open issues (now) | 0 | 664 | | Full report | [trust report](/tools/jegly-offlinellm/trust.md) | [trust report](/tools/simonw-llm/trust.md) | ## 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. ## Decision facts: llm - **Requirements:** - Installation supports multiple methods including `pip`, Homebrew (with caveats noted), `pipx`, and `uv`.; - Requires an OpenAI API key for certain functionalities. - **Adopt for:** Decision-critical facts for 'llm' - **License detail:** Apache-2.0 ## Choose when ### Choose OfflineLLM if… - OfflineLLM is primarily Kotlin; llm is Python. - License: OfflineLLM is Other, llm is Apache-2.0. - Tags unique to OfflineLLM: android, local-llm, on-device-ai, privacy-first-ai. - Need a privacy-first solution that operates fully offline ### Choose llm if… - llm is primarily Python; OfflineLLM is Kotlin. - License: llm is Apache-2.0, OfflineLLM is Other. - Requirements: - Installation supports multiple methods including `pip`, Homebrew (with caveats noted), `pipx`, and `uv`.; - Requires an OpenAI API key for certain functionalities.. - Tags unique to llm: ai, llms, openai. - - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods. ## 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 ## When NOT to use llm - - If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based. - - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models. ## Common questions ### What is the difference between OfflineLLM and llm? OfflineLLM: Private on-device AI chat for Android with local LLM support via ARM-optimised llama.cpp. llm: Access large language models from the command-line. See the comparison table for live GitHub stats and shared categories. ### When should I choose OfflineLLM over llm? Choose OfflineLLM over llm when OfflineLLM is primarily Kotlin; llm is Python; License: OfflineLLM is Other, llm is Apache-2.0; 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 choose llm over OfflineLLM? Choose llm over OfflineLLM when llm is primarily Python; OfflineLLM is Kotlin; License: llm is Apache-2.0, OfflineLLM is Other; Requirements: - Installation supports multiple methods including `pip`, Homebrew (with caveats noted), `pipx`, and `uv`.; - Requires an OpenAI API key for certain functionalities.; Tags unique to llm: ai, llms, openai; - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods. ### 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 ### When should I avoid llm? - If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based. - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models. ### Is OfflineLLM or llm more popular on GitHub? llm has more GitHub stars (12,324 vs 204). Stars measure visibility, not whether either tool fits your constraints. ### Are OfflineLLM and llm open source? Yes - both are open-source projects on GitHub (OfflineLLM: Other, llm: Apache-2.0). ### Where can I find alternatives to OfflineLLM or llm? GraphCanon lists graph-backed alternatives at [OfflineLLM alternatives](/tools/jegly-offlinellm/alternatives) and [llm alternatives](/tools/simonw-llm/alternatives) ([OfflineLLM markdown twin](/tools/jegly-offlinellm/alternatives.md), [llm markdown twin](/tools/simonw-llm/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-offlinellm-vs-simonw-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OfflineLLM or llm? OfflineLLM: Steady. llm: 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 OfflineLLM and llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OfflineLLM trust report](/tools/jegly-offlinellm/trust); [llm trust report](/tools/simonw-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jegly-offlinellm`](/api/graphcanon/graph?tool=jegly-offlinellm) - 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/_