---
title: "graphrag vs awesome-llm-apps"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/microsoft-graphrag-vs-shubhamsaboo-awesome-llm-apps"
tools: ["microsoft-graphrag", "shubhamsaboo-awesome-llm-apps"]
---

# graphrag vs awesome-llm-apps

Neutral, constraint-first comparison with live GitHub stats.

| | [graphrag](/tools/microsoft-graphrag.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) |
| --- | --- | --- |
| Tagline | Graph-based Retrieval-Augmented Generation (RAG) system | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 34,240 | 116,702 |
| Forks | 3,621 | 17,365 |
| Open issues | 158 | 6 |
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Categories | Data & Retrieval, LLM Frameworks | AI Agents, LLM Frameworks |

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=microsoft-graphrag`](/api/graphcanon/graph?tool=microsoft-graphrag)
- 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/_