# awesome-llm-apps — Citation & License Notice

> 🌐 Language: [繁體中文](AWESOME_LLM_APPS_REFERENCE.md) ｜ English ｜ [Deutsch](AWESOME_LLM_APPS_REFERENCE_DE.md) ｜ [Français](AWESOME_LLM_APPS_REFERENCE_FR.md) ｜ [Español](AWESOME_LLM_APPS_REFERENCE_ES.md) ｜ [日本語](AWESOME_LLM_APPS_REFERENCE_JA.md) ｜ [한국어](AWESOME_LLM_APPS_REFERENCE_KR.md)

The **case list and categories** in this methodology's [`04_Scenarios/LLM_APPS_CASE_INDEX.md`](../04_Scenarios/LLM_APPS_CASE_INDEX.md) (LLM application case index) are referenced from **Shubhamsaboo/awesome-llm-apps**. This document records the upstream source, license terms, and scope of citation.

---

## 1. Upstream Project

| Field | Value |
| --- | --- |
| **Project** | awesome-llm-apps |
| **Author** | Shubham Saboo (with community contributors) |
| **GitHub URL** | <https://github.com/Shubhamsaboo/awesome-llm-apps> |
| **License** | **Apache License 2.0** |
| **Content** | 100+ runnable AI Agent / RAG apps across 13 categories, most with complete source code |

## 2. What It Is

A "cookbook of runnable LLM apps" — 100+ hand-built, tested starter templates across 13 categories: Starter Agents, Advanced Agents, Game-Playing Agents, Multi-agent Teams, Voice Agents, MCP Agents, RAG, Agent Skills, Memory Apps, Chat with X, Optimization, Fine-tuning, and Framework Crash Courses.

## 3. What We Cited

| Scope | Treatment |
| --- | --- |
| **Case names and the 13 categories** | Cited as index entries |
| **L1-L5 mapping, course mapping, application-scenario notes** | This methodology's original work — our own mapping |
| **The apps' source code** | Not reproduced, not forked; learners clone from upstream if they want to build |
| **The "index" artifact itself** | Original to this methodology; under this repo's Apache 2.0 |

> In other words: the case list comes from awesome-llm-apps; the mapping of those cases onto L1-L5 and our courses is our work.

## 4. License Summary

awesome-llm-apps is under the **Apache License 2.0** — permitting free forking, customization, and commercial use. This methodology does **not redistribute** its source code — it only cites case names and categories as an index in `LLM_APPS_CASE_INDEX.md`. Learners wishing to actually run an app should obtain it from the upstream repo and comply with its Apache 2.0 terms (preserving the copyright and license notices).

## 5. Citation Format for Learners

> Case list indexed from awesome-llm-apps by Shubham Saboo — <https://github.com/Shubhamsaboo/awesome-llm-apps> (Apache-2.0)

## 6. Disclaimer

Any mapping of awesome-llm-apps cases onto L1-L5 and courses in this methodology represents the interpretation of the methodology author (Morris Lu / Tiger AI 虎智科技) and does not represent the official position of Shubham Saboo or the community contributors. The apps are mostly demo / starter templates; enterprise adoption must apply this methodology's governance mechanisms (human Gate, Evidence, Stage Gate, security review). If the upstream case list changes in newer versions, refer to the [upstream repository](https://github.com/Shubhamsaboo/awesome-llm-apps).
