--- title: "alan-sdk-android vs OGAM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alan-ai-alan-sdk-android-vs-off-grid-ai-off-grid-ai-mobile" tools: ["alan-ai-alan-sdk-android", "off-grid-ai-off-grid-ai-mobile"] --- # alan-sdk-android vs OGAM *GraphCanon updated Sep 20, 2026* ## Verdict Pick alan-sdk-android if alan-sdk-android enables embedding advanced voice commands and text-to-speech functionalities within Android apps through Alan's Intelligent App Platform; 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 without the need. [alan-sdk-android](https://alan.app/) reports 1.8k GitHub stars, 24 forks, and 5 open issues, last pushed Apr 22, 2025. [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 [alan-sdk-android's repository](https://github.com/alan-ai/alan-sdk-android) and [OGAM's repository](https://github.com/off-grid-ai/OGAM). | | [alan-sdk-android](/tools/alan-ai-alan-sdk-android.md) | [OGAM](/tools/off-grid-ai-off-grid-ai-mobile.md) | | --- | --- | --- | | Tagline | Alan AI SDK for Android | Swiss Army Knife of Offline AI | | Stars | 1,806 | 3,124 | | Forks | 24 | 298 | | Open issues | 5 | 151 | | Language | - | TypeScript | | Adopt for | alan-sdk-android enables embedding advanced voice commands and text-to-speech functionalities within Android apps through Alan's Intelligent App Platform. | 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 | (unknown) | MIT License, allowing for free use, modification, and distribution of the software. | | Categories | Speech & Audio | Computer Vision, Developer Tools, Inference & Serving, LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [alan-sdk-android](/tools/alan-ai-alan-sdk-android.md) | [OGAM](/tools/off-grid-ai-off-grid-ai-mobile.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 515d | 0d | | Open issues (now) | 5 | 151 | | Stars delta | -4 (30d) | +269 (30d) | | Open issues delta | 0 (30d) | +14 (30d) | | Full report | [trust report](/tools/alan-ai-alan-sdk-android/trust.md) | [trust report](/tools/off-grid-ai-off-grid-ai-mobile/trust.md) | ## Decision facts: alan-sdk-android - **Hosting:** self hosted - Users need to integrate the Alan AI SDK into their Android app and manage the code generation process within the platform provided by Alan - **Pricing:** freemium - While basic integration might be free, premium features or large usage volume could incur costs. Exact pricing is not disclosed in the repository. - **Adopt for:** alan-sdk-android enables embedding advanced voice commands and text-to-speech functionalities within Android apps through Alan's Intelligent App Platform. - **License detail:** (unknown) ## 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 alan-sdk-android if… - Users need to integrate the Alan AI SDK into their Android app and manage the code generation process within the platform provided by Alan - Pricing: While basic integration might be free, premium features or large usage volume could incur costs. Exact pricing is not disclosed in the repository.. - Tags unique to alan-sdk-android: speech recognition, text-to-speech, voice-assistant. - When developing an Android app requiring real-time feature generation based on user interaction, without needing manual development efforts or isolated AI tools. ### Choose OGAM if… - 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: edge-ai, gguf, ios, llama-cpp. - Also covers Computer Vision, Developer Tools, Inference & Serving, 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 alan-sdk-android - When the project scope is limited to simple apps where voice commands or text-to-speech functionalities are not essential. - If real-time feature generation or context-aware code creation are unnecessary for the application's goals and you prefer a more traditional development approach. ## 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 alan-sdk-android and OGAM? alan-sdk-android: Alan AI SDK for Android. OGAM: Swiss Army Knife of Offline AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose alan-sdk-android over OGAM? Choose alan-sdk-android over OGAM when Users need to integrate the Alan AI SDK into their Android app and manage the code generation process within the platform provided by Alan; Pricing: While basic integration might be free, premium features or large usage volume could incur costs. Exact pricing is not disclosed in the repository.; Tags unique to alan-sdk-android: speech recognition, text-to-speech, voice-assistant; When developing an Android app requiring real-time feature generation based on user interaction, without needing manual development efforts or isolated AI tools. ### When should I choose OGAM over alan-sdk-android? Choose OGAM over alan-sdk-android when 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: edge-ai, gguf, ios, llama-cpp; Also covers Computer Vision, Developer Tools, Inference & Serving, 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 alan-sdk-android? When the project scope is limited to simple apps where voice commands or text-to-speech functionalities are not essential. If real-time feature generation or context-aware code creation are unnecessary for the application's goals and you prefer a more traditional development approach. ### 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 alan-sdk-android or OGAM more popular on GitHub? OGAM has more GitHub stars (3,124 vs 1,806). Stars measure visibility, not whether either tool fits your constraints. ### Are alan-sdk-android and OGAM open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to alan-sdk-android or OGAM? GraphCanon lists graph-backed alternatives at [alan-sdk-android alternatives](/tools/alan-ai-alan-sdk-android/alternatives) and [OGAM alternatives](/tools/off-grid-ai-off-grid-ai-mobile/alternatives) ([alan-sdk-android markdown twin](/tools/alan-ai-alan-sdk-android/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/alan-ai-alan-sdk-android-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, alan-sdk-android or OGAM? alan-sdk-android: Dormant. 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 alan-sdk-android and OGAM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [alan-sdk-android trust report](/tools/alan-ai-alan-sdk-android/trust); [OGAM trust report](/tools/off-grid-ai-off-grid-ai-mobile/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alan-ai-alan-sdk-android`](/api/graphcanon/graph?tool=alan-ai-alan-sdk-android) - 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/_