--- title: "airunner vs OGAM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/capsize-games-airunner-vs-off-grid-ai-off-grid-ai-mobile" tools: ["capsize-games-airunner", "off-grid-ai-off-grid-ai-mobile"] --- # airunner vs OGAM *GraphCanon updated Sep 20, 2026* ## Verdict Pick airunner if aIRunner supports offline multimodal operations with a strong focus on image generation, real-time voice conversations, and LLM-powered chatbots via GUI or API; pick OGAM if oGAM is a versatile offline AI toolkit that supports a wide range of functionalities including chat, vision, speech-to-text, and image generation, all of which can be performed on mobile and Mac devices. [airunner](https://airunner.art) reports 1.3k GitHub stars, 103 forks, and 70 open issues, last pushed Sep 19, 2026. [OGAM](https://getoffgridai.co/pro/) has 3.1k stars, 298 forks, and 151 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [airunner's repository](https://github.com/Capsize-Games/airunner) and [OGAM's repository](https://github.com/off-grid-ai/OGAM). | | [airunner](/tools/capsize-games-airunner.md) | [OGAM](/tools/off-grid-ai-off-grid-ai-mobile.md) | | --- | --- | --- | | Tagline | Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows | Swiss Army Knife of Offline AI | | Stars | 1,316 | 3,124 | | Forks | 103 | 298 | | Open issues | 70 | 151 | | Language | Python | TypeScript | | Adopt for | AIRunner supports offline multimodal operations with a strong focus on image generation, real-time voice conversations, and LLM-powered chatbots via GUI or API. | OGAM is a versatile offline AI toolkit that supports a wide range of functionalities including chat, vision, speech-to-text, and image generation, all of which can be performed on mobile and Mac devices without the need | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0, ensuring free use but requiring sharing of modifications in a similar manner. | MIT License, allowing for free use, modification, and distribution of the software. | | Categories | Computer Vision, Inference & Serving, Speech & Audio | Computer Vision, Developer Tools, Inference & Serving, LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [airunner](/tools/capsize-games-airunner.md) | [OGAM](/tools/off-grid-ai-off-grid-ai-mobile.md) | | --- | --- | --- | | Open issues (now) | 70 | 151 | | Stars delta | +4 (30d) | +269 (30d) | | Open issues delta | +65 (30d) | +14 (30d) | | Full report | [trust report](/tools/capsize-games-airunner/trust.md) | [trust report](/tools/off-grid-ai-off-grid-ai-mobile/trust.md) | ## Decision facts: airunner - **Requirements:** Min 16 GB RAM; Requires Docker; Requires specific GPU support (NVIDIA) and larger storage allocations compared to competitors - **Adopt for:** AIRunner supports offline multimodal operations with a strong focus on image generation, real-time voice conversations, and LLM-powered chatbots via GUI or API. - **License detail:** GPL-3.0, ensuring free use but requiring sharing of modifications in a similar manner. ## Decision facts: OGAM - **Pricing:** freemium - The core functionality is free, but premium features or services may be available for purchase. - **Requirements:** Min 4 GB RAM; Supports CPU, GPU, and NPU for running AI models.; Available for Android, iOS, and macOS devices. - **Adopt for:** OGAM is a versatile offline AI toolkit that supports a wide range of functionalities including chat, vision, speech-to-text, and image generation, all of which can be performed on mobile and Mac devices without the need - **License detail:** MIT License, allowing for free use, modification, and distribution of the software. ## Choose when ### Choose airunner if… - airunner is primarily Python; OGAM is TypeScript. - License: airunner is GPL-3.0, OGAM is MIT. - Requirements: Min 16 GB RAM; Requires Docker; Requires specific GPU support (NVIDIA) and larger storage allocations compared to competitors. - Tags unique to airunner: ai art, chatbot, image-generation, speech-to-text. - airunner ships Docker support for self-hosted deployment. - When needing an all-inclusive offline tool for both image generation and speech-to-text/text-to-speech functionalities ### Choose OGAM if… - OGAM is primarily TypeScript; airunner is Python. - License: OGAM is MIT, airunner is GPL-3.0. - Pricing: The core functionality is free, but premium features or services may be available for purchase.. - Requirements: Min 4 GB RAM; Supports CPU, GPU, and NPU for running AI models.; Available for Android, iOS, and macOS devices.. - Tags unique to OGAM: android, edge-ai, gguf, ios. - Also covers Developer Tools, LLM Frameworks. - OGAM ships an MCP server manifest. - When you need a comprehensive offline AI toolkit that supports chat, vision, speech-to-text, and image generation on mobile and Mac devices. ## When NOT to use airunner - If your primary need is cloud-based services as AIRunner focuses on local deployments only - In scenarios where minimal hardware requirements are crucial, given AIRunner's higher system demands (min. 16 GB RAM, NVIDIA RTX 3060) ## When NOT to use OGAM - If you need real-time cloud-based AI services that require internet access for data processing and model updates. - When you are working in an environment where the use of local AI models is restricted or not supported by the hardware available. - If your project requires integration with specific cloud APIs or services that OGAM does not support due to its offline nature. ## Common questions ### What is the difference between airunner and OGAM? airunner: Offline inference engine for art, real-time voice conversations, LLM powered chatbots and automated workflows. OGAM: Swiss Army Knife of Offline AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose airunner over OGAM? Choose airunner over OGAM when airunner is primarily Python; OGAM is TypeScript; License: airunner is GPL-3.0, OGAM is MIT; Requirements: Min 16 GB RAM; Requires Docker; Requires specific GPU support (NVIDIA) and larger storage allocations compared to competitors; Tags unique to airunner: ai art, chatbot, image-generation, speech-to-text; airunner ships Docker support for self-hosted deployment; When needing an all-inclusive offline tool for both image generation and speech-to-text/text-to-speech functionalities. ### When should I choose OGAM over airunner? Choose OGAM over airunner when OGAM is primarily TypeScript; airunner is Python; License: OGAM is MIT, airunner is GPL-3.0; Pricing: The core functionality is free, but premium features or services may be available for purchase.; Requirements: Min 4 GB RAM; Supports CPU, GPU, and NPU for running AI models.; Available for Android, iOS, and macOS devices.; Tags unique to OGAM: android, edge-ai, gguf, ios; Also covers Developer Tools, LLM Frameworks; OGAM ships an MCP server manifest; When you need a comprehensive offline AI toolkit that supports chat, vision, speech-to-text, and image generation on mobile and Mac devices. ### When should I avoid airunner? If your primary need is cloud-based services as AIRunner focuses on local deployments only In scenarios where minimal hardware requirements are crucial, given AIRunner's higher system demands (min. 16 GB RAM, NVIDIA RTX 3060) ### When should I avoid OGAM? If you need real-time cloud-based AI services that require internet access for data processing and model updates. When you are working in an environment where the use of local AI models is restricted or not supported by the hardware available. If your project requires integration with specific cloud APIs or services that OGAM does not support due to its offline nature. ### Is airunner or OGAM more popular on GitHub? OGAM has more GitHub stars (3,124 vs 1,316). Stars measure visibility, not whether either tool fits your constraints. ### Are airunner and OGAM open source? Yes - both are open-source projects on GitHub (airunner: GPL-3.0, OGAM: MIT). ### Where can I find alternatives to airunner or OGAM? GraphCanon lists graph-backed alternatives at [airunner alternatives](/tools/capsize-games-airunner/alternatives) and [OGAM alternatives](/tools/off-grid-ai-off-grid-ai-mobile/alternatives) ([airunner markdown twin](/tools/capsize-games-airunner/alternatives.md), [OGAM markdown twin](/tools/off-grid-ai-off-grid-ai-mobile/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/capsize-games-airunner-vs-off-grid-ai-off-grid-ai-mobile.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, airunner or OGAM? airunner: Very active. OGAM: 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 airunner and OGAM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [airunner trust report](/tools/capsize-games-airunner/trust); [OGAM trust report](/tools/off-grid-ai-off-grid-ai-mobile/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=capsize-games-airunner`](/api/graphcanon/graph?tool=capsize-games-airunner) - 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/_