README.md

---
title: Autonomous Research Agent
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: streamlit
sdk_version: 1.49.1
app_file: main.py
pinned: false
license: mit
---

# Autonomous Research Agent 🤖

An intelligent research assistant that autonomously searches the web, evaluates sources, and compiles comprehensive research reports using LangGraph and Groq.

## Features

- 🔍 **Autonomous Web Search** - Uses Tavily AI to find relevant articles
- 🧠 **Smart Evaluation** - LLM-powered relevance filtering
- 📝 **Automatic Summarization** - Extracts key insights from sources
- 📊 **Report Compilation** - Synthesizes findings into cohesive reports
- 🔄 **Stateful Architecture** - Uses LangGraph for complex agentic workflows
- ⚡ **High-Speed Inference** - Powered by Groq's LPU (Llama 3.3 70B)

## How to Use

1. Enter a research topic in the chat input
2. Watch the agent autonomously:
   - Search for relevant articles
   - Scrape and evaluate content
   - Summarize useful information
   - Compile a comprehensive report
3. Review your personalized research report!

## Configuration

This Space requires two API keys to function (set in Settings → Repository Secrets):

- `GROQ_API_KEY` - Get from [console.groq.com](https://console.groq.com/)
- `TAVILY_API_KEY` - Get from [tavily.com](https://tavily.com/)

## Technology Stack

- **LangGraph** - Stateful agent orchestration
- **Groq (Llama 3.3 70B)** - High-speed LLM inference
- **Tavily AI** - AI-optimized search
- **Streamlit** - Interactive UI
- **SQLite** - Persistent checkpointing

## Source Code

Full source code available at: [GitHub Repository](https://github.com/yourusername/research-agent)

---

Built with ❤️ using LangGraph, Groq, and Streamlit