diff --git a/Multi-Agent Deep Researcher/.gitignore b/Multi-Agent Deep Researcher/.gitignore
new file mode 100644
index 000000000..110b0a608
--- /dev/null
+++ b/Multi-Agent Deep Researcher/.gitignore
@@ -0,0 +1,11 @@
+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+
+# Virtual environments
+.venv
+.env
diff --git a/Multi-Agent Deep Researcher/.python-version b/Multi-Agent Deep Researcher/.python-version
new file mode 100644
index 000000000..2c0733315
--- /dev/null
+++ b/Multi-Agent Deep Researcher/.python-version
@@ -0,0 +1 @@
+3.11
diff --git a/Multi-Agent Deep Researcher/README.md b/Multi-Agent Deep Researcher/README.md
new file mode 100644
index 000000000..3cae29f5c
--- /dev/null
+++ b/Multi-Agent Deep Researcher/README.md
@@ -0,0 +1,38 @@
+# Agentic Deep Researcher
+
+Agentic Deep Researcher is a cutting-edge project designed to explore and implement advanced research methodologies using artificial intelligence. This project aims to assist researchers in automating complex tasks, generating insights, and enhancing productivity.
+
+We use:
+
+- LinkUp (Search Tool)
+- CrewAI (Agentic design)
+- Deepseek V3 (LLM)
+- Streamlit to wrap the logic in an interactive UI
+
+### SetUp
+
+Run these commands in project root
+
+```
+uv venv # creates a virtual environment (if not yet)
+source .venv/bin/activate # or `.venv\Scripts\activate` on Windows
+uv pip install -e . # installs the project in editable mode
+```
+
+### Run the Application
+
+Run the application with:
+
+```bash
+streamlit run app.py
+```
+
+## 📬 Stay Updated with Our Newsletter!
+
+**Get a FREE Data Science eBook** 📖 with 150+ essential lessons in Data Science when you subscribe to our newsletter! Stay in the loop with the latest tutorials, insights, and exclusive resources. [Subscribe now!](https://join.dailydoseofds.com)
+
+[](https://join.dailydoseofds.com)
+
+## Contribution
+
+Contributions are welcome! Feel free to fork this repository and submit pull requests with your improvements.
diff --git a/Multi-Agent Deep Researcher/agents.py b/Multi-Agent Deep Researcher/agents.py
new file mode 100644
index 000000000..190fc390d
--- /dev/null
+++ b/Multi-Agent Deep Researcher/agents.py
@@ -0,0 +1,137 @@
+import os
+from typing import Type
+from dotenv import load_dotenv
+from pydantic import BaseModel, Field
+from linkup import LinkupClient
+from crewai import Agent, Task, Crew, Process, LLM
+from crewai.tools import BaseTool
+
+# Load environment variables (for non-LinkUp settings)
+load_dotenv()
+
+
+def get_llm_client():
+ """Initialize and return the LLM client"""
+ return LLM(
+ model="openrouter/deepseek/deepseek-chat:free",
+ base_url="https://openrouter.ai/api/v1",
+ api_key=os.getenv("OPENROUTER_API_KEY")
+ )
+
+# Define LinkUp Search Tool
+
+
+class LinkUpSearchInput(BaseModel):
+ """Input schema for LinkUp Search Tool."""
+ query: str = Field(description="The search query to perform")
+ depth: str = Field(default="standard",
+ description="Depth of search: 'standard' or 'deep'")
+ output_type: str = Field(
+ default="searchResults", description="Output type: 'searchResults', 'sourcedAnswer', or 'structured'")
+
+
+class LinkUpSearchTool(BaseTool):
+ name: str = "LinkUp Search"
+ description: str = "Search the web for information using LinkUp and return comprehensive results"
+ args_schema: Type[BaseModel] = LinkUpSearchInput
+
+ def __init__(self):
+ super().__init__()
+
+ def _run(self, query: str, depth: str = "standard", output_type: str = "searchResults") -> str:
+ """Execute LinkUp search and return results."""
+ try:
+ # Initialize LinkUp client with API key from environment variables
+ linkup_client = LinkupClient(api_key=os.getenv("LINKUP_API_KEY"))
+
+ # Perform search
+ search_response = linkup_client.search(
+ query=query,
+ depth=depth,
+ output_type=output_type
+ )
+
+ return str(search_response)
+ except Exception as e:
+ return f"Error occurred while searching: {str(e)}"
+
+
+def create_research_crew(query: str):
+ """Create and configure the research crew with all agents and tasks"""
+ # Initialize tools
+ linkup_search_tool = LinkUpSearchTool()
+
+ # Get LLM client
+ client = get_llm_client()
+
+ web_searcher = Agent(
+ role="Web Searcher",
+ goal="Find the most relevant information on the web, along with source links (urls).",
+ backstory="An expert at formulating search queries and retrieving relevant information. Passes the results to the 'Research Analyst' only.",
+ verbose=True,
+ allow_delegation=True,
+ tools=[linkup_search_tool],
+ llm=client,
+ )
+
+ # Define the research analyst
+ research_analyst = Agent(
+ role="Research Analyst",
+ goal="Analyze and synthesize raw information into structured insights, along with source links (urls).",
+ backstory="An expert at analyzing information, identifying patterns, and extracting key insights. If required, can delagate the task of fact checking/verification to 'Web Searcher' only. Passes the final results to the 'Technical Writer' only.",
+ verbose=True,
+ allow_delegation=True,
+ llm=client,
+ )
+
+ # Define the technical writer
+ technical_writer = Agent(
+ role="Technical Writer",
+ goal="Create well-structured, clear, and comprehensive responses, along with source links (urls).",
+ backstory="An expert at communicating complex information in an accessible way.",
+ verbose=True,
+ allow_delegation=False,
+ llm=client,
+ )
+
+ # Define tasks
+ search_task = Task(
+ description=f"Search for comprehensive information about: {query}.",
+ agent=web_searcher,
+ expected_output="Detailed raw search results including sources (urls).",
+ tools=[linkup_search_tool]
+ )
+
+ analysis_task = Task(
+ description="Analyze the raw search results, identify key information, verify facts and prepare a structured analysis.",
+ agent=research_analyst,
+ expected_output="A structured analysis of the information with verified facts and key insights, along with source links",
+ context=[search_task]
+ )
+
+ writing_task = Task(
+ description="Create a comprehensive, well-organized response based on the research analysis.",
+ agent=technical_writer,
+ expected_output="A clear, comprehensive response that directly answers the query with proper citations/source links (urls).",
+ context=[analysis_task]
+ )
+
+ # Create the crew
+ crew = Crew(
+ agents=[web_searcher, research_analyst, technical_writer],
+ tasks=[search_task, analysis_task, writing_task],
+ verbose=True,
+ process=Process.sequential
+ )
+
+ return crew
+
+
+def run_research(query: str):
+ """Run the research process and return results"""
+ try:
+ crew = create_research_crew(query)
+ result = crew.kickoff()
+ return result.raw
+ except Exception as e:
+ return f"Error: {str(e)}"
diff --git a/Multi-Agent Deep Researcher/app.py b/Multi-Agent Deep Researcher/app.py
new file mode 100644
index 000000000..486135abf
--- /dev/null
+++ b/Multi-Agent Deep Researcher/app.py
@@ -0,0 +1,83 @@
+import streamlit as st
+from agents import run_research
+import os
+
+# Set up page configuration
+st.set_page_config(page_title="🔍 Agentic Deep Researcher", layout="wide")
+
+# Initialize session state variables
+if "linkup_api_key" not in st.session_state:
+ st.session_state.linkup_api_key = ""
+if "messages" not in st.session_state:
+ st.session_state.messages = []
+
+def reset_chat():
+ st.session_state.messages = []
+
+# Sidebar: Linkup Configuration with updated logo link
+with st.sidebar:
+ col1, col2 = st.columns([1, 3])
+ with col1:
+ st.write("")
+ st.image(
+ "https://avatars.githubusercontent.com/u/175112039?s=200&v=4", width=65)
+ with col2:
+ st.header("Linkup Configuration")
+ st.write("Deep Web Search")
+
+ st.markdown("[Get your API key](https://app.linkup.so/sign-up)",
+ unsafe_allow_html=True)
+
+ linkup_api_key = st.text_input(
+ "Enter your Linkup API Key", type="password")
+ if linkup_api_key:
+ st.session_state.linkup_api_key = linkup_api_key
+ # Update the environment variable
+ os.environ["LINKUP_API_KEY"] = linkup_api_key
+ st.success("API Key stored successfully!")
+
+# Main Chat Interface Header with powered by logos from original code links
+col1, col2 = st.columns([6, 1])
+with col1:
+ st.markdown("🔍 Agentic Deep Researcher
",
+ unsafe_allow_html=True)
+ powered_by_html = """
+
+
Powered by
+
.svg)
+
and
+
+