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    narrative-ai

    narrative-ai

    omarnahdi August 2, 2025
    17 copies 0 downloads

    An intelligent LinkedIn post generator powered by AI agents. This system uses Gemini, Brave Search, and web scraping to create engaging, research-backed professional content tailored to your audience and tone.

    Narrative AI: LinkedIn Post Generator with AI Agents 🤖

    What's New in v0.9.2 🎉

    Added Neon as a Databse provider

    • Stores sessions and memory of Agents on NeonDB
    • Set USE_NEONDB=True in .env to use NeonDB
    • Defaults to local storage if USE_NEONDB is not set

    Added Supabase as a Database provider

    • Stores sessions and memory of Agents on Supabase
    • Set USE_SUPABASE=True in .env to use Supabase
    • Defaults to local storage if USE_SUPABASE is not set.

    Note: Checkout CHANGELOG.md for more info on all the recent updates added to the project.

    Overview

    An intelligent LinkedIn post generation system powered by AI agents, built to create engaging, research-backed professional content with a beautiful Agent UI interface.

    Table of Contents

    • Narrative AI: LinkedIn Post Generator with AI Agents 🤖
      • What's New in v0.9.2 🎉
      • Overview
      • Table of Contents
      • Features
      • Requirements
      • Installation
      • Project Structure
      • Usage
      • Configuration
      • Technologies Used
      • Contributing
      • License
      • Deprecated
        • Streamlit Interface (Deprecated)

    Features

    • 🎯 Research-backed content generation
    • 🔍 Web scraping and data analysis
    • 📝 Intelligent prompt engineering
    • 🌐 Brave Search integration
    • 📊 Structured output generation
    • 🎨 Professional post formatting
    • 🖥️ Beautiful Agent UI interface
    • 💾 Conversation history and agent memory
    • 🔄 Multi-agent interaction support

    Requirements

    • Python 3.x
    • Node.js 18+ (for Agent UI)
    • Google AI API key (Gemini)
    • Brave Search API key
    • Required Python packages (defined in pyproject.toml)

    Installation

    1. Clone the repository
    git clone https://github.com/omar
    

    Tags

    agnoai-agentsaiworkflow

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