--- title: "awesome-llm-apps vs Yuxi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/shubhamsaboo-awesome-llm-apps-vs-xerrors-yuxi" tools: ["shubhamsaboo-awesome-llm-apps", "xerrors-yuxi"] --- # awesome-llm-apps vs Yuxi *GraphCanon updated Aug 18, 2026* ## Verdict 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; pick Yuxi if yuxi is a multi-tenant Agent Harness platform that integrates knowledge bases and knowledge graphs with LangChain + Vue + FastAPI. [awesome-llm-apps](https://www.theunwindai.com) reports 131k GitHub stars, 19k forks, and 13 open issues, last pushed Aug 3, 2026. [Yuxi](https://xerrors.github.io/Yuxi/) has 6.5k stars, 965 forks, and 81 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps) and [Yuxi's repository](https://github.com/xerrors/Yuxi). | | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | [Yuxi](/tools/xerrors-yuxi.md) | | --- | --- | --- | | Tagline | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | A multi-tenant Agent Harness platform integrating knowledge base and knowledge graphs with LangChain + Vue + FastAPI. | | Stars | 131,230 | 6,500 | | Forks | 19,346 | 965 | | Open issues | 13 | 81 | | Language | Python | Python | | 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. | Yuxi is a multi-tenant Agent Harness platform that integrates knowledge bases and knowledge graphs with LangChain + Vue + FastAPI. | | Persona | - | - | | Runtime | - | - | | 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. | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | [Yuxi](/tools/xerrors-yuxi.md) | | --- | --- | --- | | Days since push | 4d | 0d | | Open issues (now) | 13 | 81 | | Stars delta | +14k (30d) | +336 (30d) | | Open issues delta | +6 (30d) | 0 (30d) | | Full report | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | [trust report](/tools/xerrors-yuxi/trust.md) | ## 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. ## Decision facts: Yuxi - **Adopt for:** Yuxi is a multi-tenant Agent Harness platform that integrates knowledge bases and knowledge graphs with LangChain + Vue + FastAPI. ## Choose when ### Choose awesome-llm-apps if… - License: awesome-llm-apps is Apache-2.0, Yuxi 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. ### Choose Yuxi if… - License: Yuxi is MIT, awesome-llm-apps is Apache-2.0. - Tags unique to Yuxi: docker, fastapi, harness, kbqa. - Yuxi ships Docker support for self-hosted deployment. - - Yuxi is ideal if you are looking for an agent-driven platform that supports RAG retrieval, Milvus, and integrates Neo4j for managing knowledge bases and graphs. ## 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. ## When NOT to use Yuxi - - Avoid Yuxi if you need a platform that heavily relies on LightRAG as the original integration has been replaced by a custom Milvus-based implementation. - - Consider alternatives if you require advanced customization of document parsing beyond MinerU, PaddleX, and RapidOCR provided in Yuxi. ## Common questions ### What is the difference between awesome-llm-apps and Yuxi? awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. Yuxi: A multi-tenant Agent Harness platform integrating knowledge base and knowledge graphs with LangChain + Vue + FastAPI.. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-llm-apps over Yuxi? Choose awesome-llm-apps over Yuxi when License: awesome-llm-apps is Apache-2.0, Yuxi 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 choose Yuxi over awesome-llm-apps? Choose Yuxi over awesome-llm-apps when License: Yuxi is MIT, awesome-llm-apps is Apache-2.0; Tags unique to Yuxi: docker, fastapi, harness, kbqa; Yuxi ships Docker support for self-hosted deployment; - Yuxi is ideal if you are looking for an agent-driven platform that supports RAG retrieval, Milvus, and integrates Neo4j for managing knowledge bases and graphs. ### 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. ### When should I avoid Yuxi? - Avoid Yuxi if you need a platform that heavily relies on LightRAG as the original integration has been replaced by a custom Milvus-based implementation. - Consider alternatives if you require advanced customization of document parsing beyond MinerU, PaddleX, and RapidOCR provided in Yuxi. ### Is awesome-llm-apps or Yuxi more popular on GitHub? awesome-llm-apps has more GitHub stars (131,230 vs 6,500). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-llm-apps and Yuxi open source? Yes - both are open-source projects on GitHub (awesome-llm-apps: Apache-2.0, Yuxi: MIT). ### Where can I find alternatives to awesome-llm-apps or Yuxi? GraphCanon lists graph-backed alternatives at [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) and [Yuxi alternatives](/tools/xerrors-yuxi/alternatives) ([awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/alternatives.md), [Yuxi markdown twin](/tools/xerrors-yuxi/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/shubhamsaboo-awesome-llm-apps-vs-xerrors-yuxi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-llm-apps or Yuxi? awesome-llm-apps: Very active. Yuxi: 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 awesome-llm-apps and Yuxi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust); [Yuxi trust report](/tools/xerrors-yuxi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps`](/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps) - 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/_