--- title: "AingDesk vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aingdesk-aingdesk-vs-shubhamsaboo-awesome-llm-apps" tools: ["aingdesk-aingdesk", "shubhamsaboo-awesome-llm-apps"] --- # AingDesk vs awesome-llm-apps *GraphCanon updated Sep 20, 2026* ## Verdict Pick AingDesk if aingDesk is a beginner-friendly AI assistant that provides features like local model deployment, knowledge base integration, and online sharing capabilities; pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. [AingDesk](https://www.aingdesk.com) reports 2.5k GitHub stars, 287 forks, and 72 open issues, last pushed Jun 4, 2026. [awesome-llm-apps](https://www.theunwindai.com) has 136k stars, 20k forks, and 10 open issues, last pushed Sep 2, 2026. Figures are from public GitHub metadata via [AingDesk's repository](https://github.com/aingdesk/AingDesk) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [AingDesk](/tools/aingdesk-aingdesk.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | A simple and easy-to-use AI assistant | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 2,536 | 136,444 | | Forks | 287 | 20,078 | | Open issues | 72 | 10 | | Language | TypeScript | Python | | Adopt for | AingDesk is a beginner-friendly AI assistant that provides features like local model deployment, knowledge base integration, and online sharing capabilities. | awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. | | Persona | - | - | | Runtime | - | - | | License | MIT | The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AingDesk](/tools/aingdesk-aingdesk.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 107d | 4d | | Open issues (now) | 72 | 10 | | Stars delta | +3 (30d) | +5.2k (30d) | | Open issues delta | +1 (30d) | -3 (30d) | | Full report | [trust report](/tools/aingdesk-aingdesk/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Decision facts: AingDesk - **Adopt for:** AingDesk is a beginner-friendly AI assistant that provides features like local model deployment, knowledge base integration, and online sharing capabilities. ## Decision facts: awesome-llm-apps - **Pricing:** freemium - Free with open-source licensing, but commercial exploitation is allowed. - **Adopt for:** awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. - **License detail:** The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. ## Choose when ### Choose AingDesk if… - AingDesk is primarily TypeScript; awesome-llm-apps is Python. - License: AingDesk is MIT, awesome-llm-apps is Apache-2.0. - Tags unique to AingDesk: deepseek, electron, llm, localai. - AingDesk ships an MCP server manifest. - - When looking for an easy-to-use tool with minimal learning curve for deploying AI models locally through AingDesk's one-click setup. ### Choose awesome-llm-apps if… - awesome-llm-apps is primarily Python; AingDesk is TypeScript. - License: awesome-llm-apps is Apache-2.0, AingDesk is MIT. - Pricing: Free with open-source licensing, but commercial exploitation is allowed.. - Tags unique to awesome-llm-apps: agents, applications, customizable, deployable. - When you need quick implementations of various real-world use cases for AI Agents and RAG. ## When NOT to use AingDesk - - Avoid using it if advanced customizations or a higher level of flexibility in setup is required since its features are aimed at simple use cases. - - If server-side deployment needs to be handled without Docker, as its documentation primarily revolves around this container technology which might not suit users unfamiliar with Docker. ## When NOT to use awesome-llm-apps - If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. - When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ## Common questions ### What is the difference between AingDesk and awesome-llm-apps? AingDesk: A simple and easy-to-use AI assistant. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories. ### When should I choose AingDesk over awesome-llm-apps? Choose AingDesk over awesome-llm-apps when AingDesk is primarily TypeScript; awesome-llm-apps is Python; License: AingDesk is MIT, awesome-llm-apps is Apache-2.0; Tags unique to AingDesk: deepseek, electron, llm, localai; AingDesk ships an MCP server manifest; - When looking for an easy-to-use tool with minimal learning curve for deploying AI models locally through AingDesk's one-click setup. ### When should I choose awesome-llm-apps over AingDesk? Choose awesome-llm-apps over AingDesk when awesome-llm-apps is primarily Python; AingDesk is TypeScript; License: awesome-llm-apps is Apache-2.0, AingDesk is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; When you need quick implementations of various real-world use cases for AI Agents and RAG. ### When should I avoid AingDesk? - Avoid using it if advanced customizations or a higher level of flexibility in setup is required since its features are aimed at simple use cases. - If server-side deployment needs to be handled without Docker, as its documentation primarily revolves around this container technology which might not suit users unfamiliar with Docker. ### When should I avoid awesome-llm-apps? If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ### Is AingDesk or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (136,444 vs 2,536). Stars measure visibility, not whether either tool fits your constraints. ### Are AingDesk and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (AingDesk: MIT, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to AingDesk or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [AingDesk alternatives](/tools/aingdesk-aingdesk/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([AingDesk markdown twin](/tools/aingdesk-aingdesk/alternatives.md), [awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/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/aingdesk-aingdesk-vs-shubhamsaboo-awesome-llm-apps.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AingDesk or awesome-llm-apps? AingDesk: Slowing. awesome-llm-apps: 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 AingDesk and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AingDesk trust report](/tools/aingdesk-aingdesk/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aingdesk-aingdesk`](/api/graphcanon/graph?tool=aingdesk-aingdesk) - 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/_