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  • Introduction
  • Why Build Agents from Scratch?
    • Why Build Agents from Scratch?
  • Core Features
    • Core Features
  • System Architecture
    • Overview
    • Agents
      • Main Agents
      • Validator Agents
    • Code Structure
      • Directory Overview
  • Installation Instructions
    • Installation
    • Usage
  • Logs and Debugging
    • Purpose
    • Key Features
    • Example
  • Code Components Overview
    • AgentBase
    • Summarization Agents
    • Data Sanitization Agents
    • Research Article Agents
    • Refinement Agents
  • Use Cases and Applications
    • Use Cases
  • Agent Execution Flow
  • Advanced Configuration
  • Performance Optimization
  • Benchmarking and Metrics
  • AI Ethics and Considerations
  • Agent Tutorials
  • Deployment and Scaling
  • Roadmap
  • Case Studies
  • FAQ and Troubleshooting
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Introduction

NextWhy Build Agents from Scratch?

Last updated 3 months ago

Resources and Links

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Cognify: AI Agents from Scratch is a minimalistic, Python-based framework to demonstrate how AI agents can be designed without using external orchestration libraries like LangChain, AutoGen, or Crew AI.

By leveraging OpenAI's GPT-4o model, the system is focused on performing specific tasks in a modular, scalable, and efficient way. With an intuitive Streamlit web interface, Cognify is tailored to help both beginners and developers understand how multi-agent systems work, step by step.

Features

  • Modular Design: Each agent is designed as an independent module that can communicate with others, facilitating easy development and testing.

  • Scalable Architecture: The framework supports the addition of new agents without disrupting existing functionalities, making it suitable for growing projects.

  • Efficiency: By employing the GPT-4o model, Cognify offers fast processing capabilities and ensures the optimal use of computational resources.

  • User-Friendly Interface: The simple Streamlit web interface allows users to interact with AI agents effortlessly, making it accessible even for those with minimal technical expertise.

X: cognitiondotcx
GitHub: cognifydotcx/Cognify