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

# airllm vs awesome-llm-apps

Neutral, constraint-first comparison with live GitHub stats.

| | [airllm](/tools/lyogavin-airllm.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) |
| --- | --- | --- |
| Tagline | Repository for running large language models with reduced memory usage on limited GPU hardware. | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 22,229 | 116,702 |
| Forks | 2,556 | 17,365 |
| Open issues | 106 | 6 |
| Language | Jupyter Notebook | Python |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Inference & Serving, Model Training | AI Agents, LLM Frameworks |

---

**Machine-readable endpoints**

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