https://github.com/mrnust/mas_with_llms

https://ollama.com/library/llama3
https://github.com/mrnust/mas_with_llms

crewai langchain llm mas ollama

Last synced: 15 days ago
JSON representation

https://ollama.com/library/llama3

• Host: GitHub
• URL: https://github.com/mrnust/mas_with_llms
• Owner: mrnust
• Created: 2024-08-19T10:39:25.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-08-19T14:01:33.000Z (3 months ago)
• Last Synced: 2024-11-05T05:03:10.251Z (15 days ago)
• Topics: crewai, langchain, llm, mas, ollama
• Language: Python
• Homepage:
• Size: 28.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Project 1: LLM-Powered Multi-Agent Code Management System

## Overview

This project is a **Code Generation and Management Tool** that leverages a multi-agent system powered by the Llama 3 language model (LLM). The tool is designed to automate and streamline the process of code generation, optimization, error resolution, and reporting. It simulates a team of agents working together to efficiently produce high-quality code based on user-provided requirements.

## Features

- **CEO Agent**: Oversees the entire project, sets objectives, and reviews the final report.

- **Manager Agent**: Manages the workflow of the team, assigns tasks, and ensures task completion.

- **Code Generation Agent**: Generates the initial code based on the given requirements.

- **Code Optimization Agent**: Optimizes the generated code by applying best practices.

- **Error Resolution Agent**: Identifies and resolves any errors in the code.

- **Reporting Agent**: Generates a comprehensive report on the project's progress, including code quality and errors.

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# Project 2: LLM-Powered Multi-Agent Content Generation

## Overview

This project is a **Content Generation Tool** that utilizes a multi-agent system powered by the Llama 3 language model (LLM). The tool automates the process of researching, generating, and simplifying content based on a user-provided topic. It features agents specialized in different aspects of content creation, working together to produce high-quality, accessible content.

## Features

- **Research Agent**: Gathers information from Wikipedia based on the provided topic and generates a draft.

- **Content Generator Agent**: Produces detailed content or an article based on the draft.

- **Simplifier Agent**: Simplifies the generated content to make it more accessible and easier to understand.