vuhosi-atlas 0.1.0

Atlas - Yet Another (AI) Agentic Framework

Atlas is an in-house framework designed to create custom AI Agents with ease and zero coupling. Built by Vuhosi, Atlas aims to provide a simplified, less bloated alternative to existing AI agent frameworks.

Overview

Atlas was born out of the need for a more reliable and efficient AI agent framework. After experiencing underwhelming results with existing solutions like Crewai in production environments, we decided to create our own low-coupling abstraction on top of OpenAI's assistants and function calling capabilities.

The primary goal of Atlas is to maintain a sequential flow of multiple agents in a pipeline, providing a streamlined approach to AI agent development and deployment.

Features

• Zero coupling design for flexibility and ease of use
• Built on top of OpenAI's assistants and function calling
• Simplified, less bloated framework
• Sequential flow of multiple agents in a pipeline
• Four different types of AI Agents to suit various use cases
• Customizable prompting system

Installation

pip install vuhosi-atlas

Agent Types

Atlas supports four different types of AI Agents:

1. Assistants: Utilizes OpenAI assistants under the hood, combining function calling for fast and efficient operations.

   

2. Conversational Persona Bots: Assistants in a loop with the user, designed for interactive conversations.

   

3. ReAct-based Agents: Implements a Reasoning and Action loop to accomplish tasks effectively.

4. PAL Agents: Program-Aided Language models built for complex problem-solving scenarios.

Quick Start

Roadmap

• Implement ReAct based agents

• Implement PAL based agents

• Implement a new prompting system:

  • Objective
  • Context
  • Instruction
  • Output
  • Examples

• Develop collaboration workflow:

  • Current focus is on sequential workflows
  • Future plans to implement collaborative agent interactions

• Integrate feedback mechanism:

  • Initial implementation of a naive feedback system

Why Atlas?

Atlas addresses the reliability issues faced with other frameworks when deploying AI crews to production environments. By creating a custom, low-coupling abstraction, we aim to provide a more dependable and efficient solution for AI agent development and deployment.

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Built with ❤️ by Vuhosi