From ec13af0bb485d132a9ed1f78c2558f039e628aa8 Mon Sep 17 00:00:00 2001
From: Shubham Saboo <31396011+Shubhamsaboo@users.noreply.github.com>
Date: Sun, 30 Nov 2025 21:58:53 -0800
Subject: [PATCH] Update README with tutorial link

Added a link to a free step-by-step tutorial for building an AI research agent with memory.
---
 .../ai_arxiv_agent_memory/README.md                           | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/advanced_llm_apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/README.md b/advanced_llm_apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/README.md
index 74c6395..d1ff5a0 100644
--- a/advanced_llm_apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/README.md
+++ b/advanced_llm_apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/README.md
@@ -1,4 +1,8 @@
 ## 📚 AI Research Agent with Memory
+
+### 🎓 FREE Step-by-Step Tutorial 
+**👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-ai-research-agent-with-memory-to-search-academic-papers) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.**
+
 This Streamlit app implements an AI-powered research assistant that helps users search for academic papers on arXiv while maintaining a memory of user interests and past interactions. It utilizes OpenAI's GPT-4o-mini model for processing search results, MultiOn for web browsing, and Mem0 with Qdrant for maintaining user context.
 
 ### Features