Add a Readme file and a License

.github/README.md

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+# Gem - Your Shopping Agent
+
+**Gem** is an intelligent, friendly, and personalized AI shopping agent designed to help you find the perfect products on Amazon. Engage in a natural conversation, and Gem will guide you through the shopping process with smart recommendations, advanced filtering, and a personalized touch.
+
+This project is built using the **[Agno](https://github.com/agno-agi/agno)** framework, which provides a production-ready runtime called **AgentOS** to manage and serve the AI agent securely.
+
+## Frontend UI
+
+This repository contains the **backend service** for the Gem Agent. The official chat interface for interacting with the agent is available in a separate repository.
+
+➡️ **[GemAI Frontend Repository](https://github.com/aasherkamal216/GemAI_Frontend)**
+
+## Features
+
+-   **Conversational Search:** Simply chat with Gem about what you're looking for. No more rigid keyword searches.
+-   **Visual Search:** Upload images and let Gem find similar products on Amazon.
+-   **Advanced Filtering:** Effortlessly narrow down results by price range, category, ratings, best-sellers, and active deals.
+-   **Intelligent Reranking:** Uses Cohere's state-of-the-art reranking model to sort products based on true relevance to your query, not just keywords.
+-   **Personalized Experience:** Gem remembers your preferences across conversations, providing a tailored shopping journey every time.
+-   **Secure & Scalable:** Built on **AgentOS**, which runs as a secure FastAPI application within your own infrastructure.
+-   **Dockerized:** Fully containerized for easy, consistent, and reproducible deployment anywhere.
+
+## How It Works
+
+The agent follows a sophisticated workflow to deliver highly relevant product recommendations:
+
+1.  **User Interaction**: A user sends a request (e.g., "I need running shoes under $100") from the frontend to the secure AgentOS API endpoint.
+2.  **Agent Processing**: The request is routed to the `shopping-agent`, which is powered by **Google Gemini**. The agent analyzes the user's intent based on its core instructions (`app/prompts.py`).
+3.  **Tool Execution**: The agent identifies the need to search for products and calls the `fetch_products` tool.
+4.  **Product Search**: The tool queries a **RapidAPI Amazon Search** endpoint to retrieve a list of candidate products.
+5.  **Relevance Reranking**: The initial results are passed to the **Cohere Rerank** model. This step is crucial, as it re-orders the products to prioritize those that are most semantically relevant to the user's specific query.
+6.  **Memory & Context**: The agent uses a **Groq-powered Memory Manager** with a **Redis** backend to recall user preferences (e.g., "user prefers Nike") and maintain conversation history.
+7.  **Response Generation**: The Gemini model synthesizes the reranked product data and its memory to generate a friendly, conversational response, highlighting the best options and asking clarifying questions.
+
+## Tech Stack
+
+-   **Framework:** [Agno](https://github.com/agno-agi/agno)
+-   **Core LLM:** Google Gemini (`gemini-2.5-flash`)
+-   **Memory Manager LLM:** Groq (`openai/gpt-oss-120b`)
+-   **Reranking Model:** Cohere (`rerank-v3.5`)
+-   **Backend Server:** FastAPI (via AgentOS)
+-   **Database:** Redis (for session history and agentic memory)
+-   **Containerization:** Docker
+-   **Product Search API:** Amazon Search via RapidAPI

LICENSE

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+Copyright (c) 2025 Aasher Kamal
+
+All Rights Reserved.
+
+NOTICE TO USER: This is a proprietary software product protected by copyright laws. 
+The software is provided for specific, authorized use only.
+
+Permission is not granted to any person obtaining a copy of this software and
+associated documentation files (the "Software") to use, copy, modify, merge,
+publish, distribute, sublicense, and/or sell copies of the Software.
+
+Any unauthorized use, reproduction, modification, or distribution of this Software
+is strictly prohibited and may result in severe civil and criminal penalties, and
+will be prosecuted to the maximum extent possible under the law.
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software where applicable.
+
+For all licensing inquiries, please contact aasherkamal786@gmail.com