Added the My Jarvis demo to the repo

Author: riferrei

README.md

@@ -43,14 +43,15 @@ New to Redis for AI applications? Here's how to get started:
 ## Demos
 No faster way to get started than by diving in and playing around with a demo.
 
-| Demo                                                                                | Description                                                                                                                                                                                                    |
-|-------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| [Redis RAG Workbench](https://github.com/redis-developer/redis-rag-workbench)       | Interactive demo to build a RAG-based chatbot over a user-uploaded PDF. Toggle different settings and configurations to improve chatbot performance and quality. Utilizes RedisVL, LangChain, RAGAs, and more. |
-| [Redis VSS - Simple Streamlit Demo](https://github.com/antonum/Redis-VSS-Streamlit) | Streamlit demo of Redis Vector Search                                                                                                                                                                          |
-| [ArXiv Search](https://github.com/redis-developer/redis-arxiv-search)               | Full stack implementation of Redis with React FE                                                                                                                                                               |
-| [Product Search](https://github.com/redis-developer/redis-product-search)           | Vector search with Redis Stack and Redis Enterprise                                                                                                                                                            |
-| [ArxivChatGuru](https://github.com/redis-developer/ArxivChatGuru)                   | Streamlit demo of RAG over Arxiv documents with Redis & OpenAI                                                                                                                                                 |
-| [Redis Movies Searcher](https://github.com/redis-developer/redis-movies-searcher)   | Demo of hybrid search using Java, Spring Boot, and Redis OM                                                                                                                                                    |
+| Demo                                                                                | Description                                                                                                                                                                                                                                                                                                              |
+|-------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| [Redis RAG Workbench](https://github.com/redis-developer/redis-rag-workbench)       | Interactive demo to build a RAG-based chatbot over a user-uploaded PDF. Toggle different settings and configurations to improve chatbot performance and quality. Utilizes RedisVL, LangChain, RAGAs, and more.                                                                                                           |
+| [Redis VSS - Simple Streamlit Demo](https://github.com/antonum/Redis-VSS-Streamlit) | Streamlit demo of Redis Vector Search                                                                                                                                                                                                                                                                                    |
+| [ArXiv Search](https://github.com/redis-developer/redis-arxiv-search)               | Full stack implementation of Redis with React FE                                                                                                                                                                                                                                                                         |
+| [Product Search](https://github.com/redis-developer/redis-product-search)           | Vector search with Redis Stack and Redis Enterprise                                                                                                                                                                                                                                                                      |
+| [ArxivChatGuru](https://github.com/redis-developer/ArxivChatGuru)                   | Streamlit demo of RAG over Arxiv documents with Redis & OpenAI                                                                                                                                                                                                                                                           |
+| [Redis Movies Searcher](https://github.com/redis-developer/redis-movies-searcher)   | Demo of hybrid search using Java, Spring Boot, and Redis OM                                                                                                                                                                                                                                                              |
+| [My Jarvis Alexa Skill](https://github.com/redis-developer/my-jarvis-alexa-skill)   | Complete example of an Alexa skill that uses Redis Agent Memory Server to provide contextual, memory-enabled responses to users. Utilizes Agent Memory Server, LangChain4J, Terraform, and AWS. It showcases how to implement context engineering to dynamically leverage RAG, tools, short-term and long-term memories. |
 
 
 ## Recipes