Tswoen/Paper-Agent
🤖 AI AgentTswoen
An intelligent multi-agent system for automated academic paper retrieval, analysis, and comprehensive literature reviews.
Paper-Agent is a sophisticated framework built to solve the time-consuming challenges of academic literature review. At its core, it utilizes a multi-agent orchestration strategy powered by AutoGen and LangGraph, allowing specialized agents to handle distinct tasks such as search, retrieval, and content analysis. The system integrates with Chroma for vector-based knowledge management, enabling users to query vast databases of academic content using natural language. Key features include automated multi-platform paper searching, intelligent summarization of research findings, and structured literature survey generation. By automating the retrieval and synthesis pipeline, Paper-Agent significantly reduces the manual labor involved in academic research, allowing scholars to focus on critical thinking and hypothesis generation rather than data collection. The project is highly modular, supporting custom search configurations and RAG (Retrieval-Augmented Generation) pipelines to ensure high-quality, context-aware outputs.
💡Highlights
- ├─Multi-agent AutoGen & LangGraph stack
- ├─Automated RAG-based paper analysis
- └─Integrated multi-platform search
🎯For
- ├─Academic Researchers
- ├─Graduate Students
- └─Research Scientists