🤖 PaperFast

PaperFast is an AI-powered application designed to accelerate your paper research and study process. It leverages a team of intelligent agents to assist you in searching for, summarizing, and organizing academic papers, specifically from Arxiv.

✨ Features

• Multi-Agent Workflow: Utilizes LangGraph to orchestrate specialized agents (Search, Summary, etc.) for complex tasks.
• Paper Search: Efficiently searches for relevant papers using the Arxiv API.
• Interactive Chat Interface: Built with Streamlit for a user-friendly, chat-based experience.
• Traceability: Integrated with LangFuse for monitoring and tracing agent interactions.

🛠️ Tech Stack

• Python 3.12+
• Streamlit: For the web interface.
• LangChain & LangGraph: For building the agentic workflow.
• UV: For fast Python package management.
• MCP (Model Context Protocol): For standardized tool integration.

🚀 Getting Started

Prerequisites

• Python 3.12 or higher
• uv (recommended for dependency management)

Installation

1. Clone the repository

   git clone <repository-url>
   cd PaperFast

2. Install dependencies

   uv sync

3. Set up MCP Server For local MCP setup, you need to install the Arxiv MCP server tool:

   uv tool install arxiv-mcp-server

4. Environment Setup Create a .env file in the root directory and add your necessary API keys (e.g., OpenAI, LangFuse). You can use .env.example as a reference if available.

   OPENAI_API_KEY=your_api_key_here
   LANGFUSE_SECRET_KEY=your_langfuse_secret_key
   LANGFUSE_PUBLIC_KEY=your_langfuse_public_key
   LANGFUSE_HOST="https://cloud.langfuse.com"

Running the Application

You can start the application using poe (if configured) or directly with Streamlit.

Using poe:

poe run

Using streamlit directly:

streamlit run app/main.py

📂 Project Structure

• app/: Main application source code.
  • main.py: Entry point for the Streamlit app.
  • workflow/: Contains the LangGraph workflow and agent definitions.
    • agents/: Individual agent implementations (Search, Master, etc.).
• pyproject.toml: Project configuration and dependencies.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.