Project Overview
Traditional research workflows require manual search, reading, synthesis, and report writing, making them slow and inconsistent. The Agentic Deep Researcher automates this entire pipeline using specialized AI agents that collaborate to search the web, analyze content, and generate structured research reports with citations.
System Architecture
The system follows a layered agentic architecture where a central orchestrator coordinates multiple specialized agents. An API router connects the UI, agents, memory, and external services such as LinkUp and OpenRouter.
Streamlit Frontend
User interface for submitting research queries
Agent Orchestrator
Coordinates agent execution and workflow state
Web Search Agent
Fetches relevant information using LinkUp API
Research Analyst Agent
Analyzes and synthesizes retrieved data
Technical Writer Agent
Generates structured reports with citations
Memory System
Stores intermediate context and agent state
Implementation Details
Code Example
from crewai import Agent
researcher = Agent(
role='Web Searcher',
goal='Find accurate and relevant information',
backstory='Expert web researcher using deep search APIs'
)
analyst = Agent(
role='Research Analyst',
goal='Analyze and synthesize research data',
backstory='Expert analyst skilled at finding patterns'
)
writer = Agent(
role='Technical Writer',
goal='Generate structured reports with citations',
backstory='Professional writer focused on clarity'
)Agent Memory
Separating search, analysis, and writing into different agents improves accuracy, scalability, and maintainability.
Workflow
User submits a research query
Web Search Agent retrieves sources using LinkUp API
Research Analyst Agent extracts insights and patterns
Technical Writer Agent generates structured report
Final report displayed with citations and sources
Results & Impact
"This system turned hours of manual research into a few minutes of structured insights."
Speed
Research tasks completed 5x faster
Consistency
Structured outputs with reliable citations
Scalability
Supports multiple concurrent research requests
About the Author
Contributors
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