Agentic AI Researcher App
September 2025
An AI-powered research assistant that searches arXiv, reads papers, generates insights, and writes new research in LaTeX PDF format.
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Project Overview
The Agentic AI Researcher redefines how research is conducted by automating the end-to-end process. It starts by asking users about their research interests, then explores arXiv to find the most relevant and recent papers. The agent reads, summarizes, and extracts future directions, before generating fresh research ideas. Finally, it composes a full LaTeX paper, fixes compilation errors automatically, and exports a polished PDF complete with references. With built-in memory for chat history, it feels like a true AI collaborator for academics and researchers.
Key Features
Smart Paper Search
Finds recent and relevant research papers directly from arXiv.org.
Paper Understanding
Reads and summarizes papers, highlighting outcomes and future directions.
Idea Generation
Suggests novel research ideas inspired by existing literature.
LaTeX to PDF
Automatically writes research papers in LaTeX and exports error-free PDFs.
Self-Correction
Fixes LaTeX compilation errors autonomously to ensure smooth PDF generation.
Chat Memory
Saves user-agent conversation history for context-aware continuity.
Challenges
- •Automating LaTeX error detection and correction
- •Managing multi-turn interactions with research context
- •Integrating multiple tools (search, read, write) into one seamless agent
Key Learnings
- •Built an end-to-end research automation pipeline
- •Explored LangGraph for agentic workflow orchestration
- •Improved error handling and memory persistence in AI agents
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