diff --git a/multi_agent/README.md b/multi_agent/README.md
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+## 📰 Multi-Agent AI Researcher
+This Streamlit app empowers you to research top stories and users on HackerNews using a team of AI assistants with GPT-4o. 
+
+### Features
+- Research top stories and users on HackerNews
+- Utilize a team of AI assistants specialized in story and user research
+- Generate blog posts, reports, and social media content based on your research queries
+
+### How to get Started?
+
+1. Clone the GitHub repository
+
+```bash
+git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+```
+2. Install the required dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+3. Get your OpenAI API Key
+
+- Sign up for an [OpenAI account](https://platform.openai.com/) (or the LLM provider of your choice) and obtain your API key.
+
+4. Run the Streamlit App
+```bash
+streamlit run research_agent.py
+```
+
+### How it works?
+
+- Upon running the app, you will be prompted to enter your OpenAI API key. This key is used to authenticate and access the OpenAI language models.
+- Once you provide a valid API key, three instances of the Assistant class are created:
+    - **story_researcher**: Specializes in researching HackerNews stories.
+    - **user_researcher**: Focuses on researching HackerNews users and reading articles from URLs.
+    - **hn_assistant**: A team assistant that coordinates the research efforts of the story and user researchers.
+
+- Enter your research query in the provided text input field. This could be a topic, keyword, or specific question related to HackerNews stories or users.
+- The hn_assistant will orchestrate the research process by delegating tasks to the story_researcher and user_researcher based on your query.
+- The AI assistants will gather relevant information from HackerNews using the provided tools and generate a comprehensive response using the GPT-4 language model.
+- The generated content, which could be a blog post, report, or social media post, will be displayed in the app for you to review and use.
+
diff --git a/multi_agent/requirements.txt b/multi_agent/requirements.txt
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+streamlit 
+phidata
+openai
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diff --git a/multi_agent/research_agent.py b/multi_agent/research_agent.py
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+# Import the required libraries
+import streamlit as st
+from phi.assistant import Assistant
+from phi.tools.hackernews import HackerNews
+from phi.llm.openai import OpenAIChat
+
+# Set up the Streamlit app
+st.title("Multi-Agent AI Researcher 🔍🤖")
+st.caption("This app allows you to research top stories and users on HackerNews and write blog posts, reports and social posts on that.")
+
+# Get OpenAI API key from user
+openai_api_key = st.text_input("OpenAI API Key", type="password")
+
+if openai_api_key:
+    # Create instances of the Assistant
+    story_researcher = Assistant(
+        name="HackerNews Story Researcher",
+        role="Researches hackernews stories and users.",
+        tools=[HackerNews()],
+    )
+
+    user_researcher = Assistant(
+        name="HackerNews User Researcher",
+        role="Reads articles from URLs.",
+        tools=[HackerNews()],
+    )
+
+    hn_assistant = Assistant(
+        name="Hackernews Team",
+        team=[story_researcher, user_researcher],
+        llm=OpenAIChat(
+            model="gpt-4o",
+            max_tokens=1024,
+            temperature=0.5,
+            api_key=openai_api_key
+        )
+    )
+
+    # Input field for the report query
+    query = st.text_input("Enter your report query")
+
+    if query:
+        # Get the response from the assistant
+        response = hn_assistant.run(query, stream=False)
+        st.write(response)
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