README.md

metadata

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
• TAVILY_API_KEY - Get from 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

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Built with ❤️ using LangGraph, Groq, and Streamlit