--- title: "airweave vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/airweave-ai-airweave-vs-shubhamsaboo-awesome-llm-apps" tools: ["airweave-ai-airweave", "shubhamsaboo-awesome-llm-apps"] --- # airweave vs awesome-llm-apps *GraphCanon updated Sep 20, 2026* ## Verdict Pick airweave if airweave is an open-source context retrieval layer for AI agents, emphasizing integration and data connectors for retrieval-augmented generation; 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. [airweave](https://airweave.ai) reports 6.6k GitHub stars, 819 forks, and 105 open issues, last pushed Jun 5, 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 [airweave's repository](https://github.com/airweave-ai/airweave) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [airweave](/tools/airweave-ai-airweave.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | Open-source context retrieval layer for AI agents | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 6,563 | 136,444 | | Forks | 819 | 20,078 | | Open issues | 105 | 10 | | Language | Python | Python | | Adopt for | Airweave is an open-source context retrieval layer for AI agents, emphasizing integration and data connectors for retrieval-augmented generation. | 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 License | 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._ | | [airweave](/tools/airweave-ai-airweave.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Very active (96%) | | Days since push | 104d | 4d | | Archived on GitHub | Yes | No | | Open issues (now) | 105 | 10 | | Stars delta | +5 (30d) | +5.2k (30d) | | Open issues delta | -14 (30d) | -3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/airweave-ai-airweave/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Decision facts: airweave - **Requirements:** Requires Python for development and deployment. - **Adopt for:** Airweave is an open-source context retrieval layer for AI agents, emphasizing integration and data connectors for retrieval-augmented generation. - **License detail:** MIT License ## 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 airweave if… - License: airweave is MIT, awesome-llm-apps is Apache-2.0. - Requirements: Requires Python for development and deployment.. - Tags unique to airweave: agent-infrastructure, ai-infrastructure, context-retrieval, data-connectors. - When you need a retrieval-augmented generation layer that integrates seamlessly with various data sources and connectors. ### Choose awesome-llm-apps if… - License: awesome-llm-apps is Apache-2.0, airweave 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 airweave - If your project does not require integration with multiple data sources or connectors, as Airweave's strength lies in its extensive integration capabilities. - When you are looking for a tool that focuses solely on the development of AI agents without the retrieval-augmented generation aspect. ## 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 airweave and awesome-llm-apps? airweave: Open-source context retrieval layer for AI agents. 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 airweave over awesome-llm-apps? Choose airweave over awesome-llm-apps when License: airweave is MIT, awesome-llm-apps is Apache-2.0; Requirements: Requires Python for development and deployment.; Tags unique to airweave: agent-infrastructure, ai-infrastructure, context-retrieval, data-connectors; When you need a retrieval-augmented generation layer that integrates seamlessly with various data sources and connectors. ### When should I choose awesome-llm-apps over airweave? Choose awesome-llm-apps over airweave when License: awesome-llm-apps is Apache-2.0, airweave 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 airweave? If your project does not require integration with multiple data sources or connectors, as Airweave's strength lies in its extensive integration capabilities. When you are looking for a tool that focuses solely on the development of AI agents without the retrieval-augmented generation aspect. ### 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 airweave or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (136,444 vs 6,563). Stars measure visibility, not whether either tool fits your constraints. ### Are airweave and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (airweave: MIT, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to airweave or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [airweave alternatives](/tools/airweave-ai-airweave/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([airweave markdown twin](/tools/airweave-ai-airweave/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/airweave-ai-airweave-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, airweave or awesome-llm-apps? airweave: Archived. 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 airweave and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [airweave trust report](/tools/airweave-ai-airweave/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=airweave-ai-airweave`](/api/graphcanon/graph?tool=airweave-ai-airweave) - 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/_