--- title: "Vane vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/itzcrazykns-vane-vs-shubhamsaboo-awesome-llm-apps" tools: ["itzcrazykns-vane", "shubhamsaboo-awesome-llm-apps"] --- # Vane vs awesome-llm-apps *GraphCanon updated Sep 20, 2026* ## Verdict Pick Vane if vane is an AI-powered answering engine that can be installed using Docker or built from source. It integrates with SearxNG for search capabilities and supports various AI models; 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. [Vane](https://github.com/ItzCrazyKns/Vane) reports 37k GitHub stars, 4.1k forks, and 352 open issues, last pushed Sep 1, 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 [Vane's repository](https://github.com/ItzCrazyKns/Vane) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [Vane](/tools/itzcrazykns-vane.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | Vane is an AI-powered answering engine. | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 36,869 | 136,444 | | Forks | 4,093 | 20,078 | | Open issues | 352 | 10 | | Language | TypeScript | Python | | Adopt for | Vane is an AI-powered answering engine that can be installed using Docker or built from source. It integrates with SearxNG for search capabilities and supports various AI models. | 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._ | | [Vane](/tools/itzcrazykns-vane.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 16d | 4d | | Open issues (now) | 352 | 10 | | Stars delta | +682 (30d) | +5.2k (30d) | | Open issues delta | +5 (30d) | -3 (30d) | | Full report | [trust report](/tools/itzcrazykns-vane/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Decision facts: Vane - **Adopt for:** Vane is an AI-powered answering engine that can be installed using Docker or built from source. It integrates with SearxNG for search capabilities and supports various AI models. ## 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 Vane if… - Vane is primarily TypeScript; awesome-llm-apps is Python. - License: Vane is MIT, awesome-llm-apps is Apache-2.0. - Tags unique to Vane: ai-agents, ai-search-engine, answering-engine, artificial-intelligence. - Vane ships Docker support for self-hosted deployment. - Use Vane when you need an AI-powered answering engine that can be easily set up with Docker, reducing the complexity of managing dependencies and environment variables. ### Choose awesome-llm-apps if… - awesome-llm-apps is primarily Python; Vane is TypeScript. - License: awesome-llm-apps is Apache-2.0, Vane 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 Vane - Avoid Vane if you do not have the technical capability to set up and manage Docker containers or if you prefer a solution that does not require Docker for installation. - Do not use Vane if you need a solution that does not integrate with SearxNG, as Vane's search capabilities are tightly coupled with SearxNG, requiring specific configurations. - Skip Vane if you are looking for a fully managed service without the need for self-hosting, as Vane requires setting up and maintaining your own instance. ## 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 Vane and awesome-llm-apps? Vane: Vane is an AI-powered answering engine.. 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 Vane over awesome-llm-apps? Choose Vane over awesome-llm-apps when Vane is primarily TypeScript; awesome-llm-apps is Python; License: Vane is MIT, awesome-llm-apps is Apache-2.0; Tags unique to Vane: ai-agents, ai-search-engine, answering-engine, artificial-intelligence; Vane ships Docker support for self-hosted deployment; Use Vane when you need an AI-powered answering engine that can be easily set up with Docker, reducing the complexity of managing dependencies and environment variables. ### When should I choose awesome-llm-apps over Vane? Choose awesome-llm-apps over Vane when awesome-llm-apps is primarily Python; Vane is TypeScript; License: awesome-llm-apps is Apache-2.0, Vane 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 Vane? Avoid Vane if you do not have the technical capability to set up and manage Docker containers or if you prefer a solution that does not require Docker for installation. Do not use Vane if you need a solution that does not integrate with SearxNG, as Vane's search capabilities are tightly coupled with SearxNG, requiring specific configurations. Skip Vane if you are looking for a fully managed service without the need for self-hosting, as Vane requires setting up and maintaining your own instance. ### 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 Vane or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (136,444 vs 36,869). Stars measure visibility, not whether either tool fits your constraints. ### Are Vane and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (Vane: MIT, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to Vane or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [Vane alternatives](/tools/itzcrazykns-vane/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([Vane markdown twin](/tools/itzcrazykns-vane/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/itzcrazykns-vane-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, Vane or awesome-llm-apps? Vane: Active. 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 Vane and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Vane trust report](/tools/itzcrazykns-vane/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=itzcrazykns-vane`](/api/graphcanon/graph?tool=itzcrazykns-vane) - 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/_