HIVEAI 🐝 - Multi-Agent Collaboration Platform

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Table of Contents

• Introduction
• Key Features 🚀
• Platform Architecture 🏗️
• 🚨 Setup Instructions
  • Prerequisites
  • Install Dependencies
  • Running the API
• 📚 Available Endpoints
  • Agent Management 🤖
  • Collaboration Management 🤝
  • Agent Status and Progress 📊
• 🛠️ Example Usage
• 🔧 Technologies Used
• License 📜
• 💬 Support

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Introduction

Welcome to HIVEAI! 🧠✨ A powerful platform designed to manage and orchestrate multiple AI agents working together collaboratively on complex tasks. Think of it as a smart hive where agents combine their intelligence to achieve shared goals! 🤖💡

With HIVEAI, you can:

• Create and manage AI agents 🛠️
• Launch collaborative projects where agents work together 🤝
• Track progress and monitor the status of your agents in real-time 📊

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Key Features 🚀

• Agent Management: Create AI agents with customizable capabilities 🤖
• Collaboration Projects: Define projects where agents collaborate to achieve common goals 🧑‍🤝‍🧑
• Agent Assignment: Assign agents to specific tasks within collaboration projects 🎯
• Collaboration Monitoring: Track progress and performance of agents within each project 📈

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Platform Architecture 🏗️

• Flask: Lightweight Python web framework for creating the API 🌐
• SQLAlchemy: ORM for managing and accessing the database 🗄️
• SQLite: A simple and effective local database 🛠️

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🚨 Setup Instructions

Prerequisites:

• Python 3.10 or higher 🐍
• A virtual environment (optional but recommended) 🌱

Install Dependencies 💻:

1. Clone this repository:

   git clone hhttps://github.com/hiveagent/hiveagentai.git
   cd hiveagentai
   

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

Running the API 🔥

1. Start the Flask development server:

   python app.py
   

2. The API will be running locally on: http://127.0.0.1:5000/ 🌍

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📚 Available Endpoints

Agent Management 🤖

• Create an Agent: POST /agents

  • Create a new AI agent with a name and capabilities.
  • Example:

  {
    "name": "Agent A",
    "capabilities": "Data Analysis, Machine Learning"
  }
  

• List all Agents: GET /agents

  • Retrieve a list of all created agents.

Collaboration Management 🤝

• Create a Collaboration: POST /multi-agent/create

  • Create a new collaboration project where agents can join and work together.
  • Example:

  {
    "name": "Project Alpha",
    "description": "Data analysis and machine learning collaboration."
  }
  

• Assign Agents to a Collaboration: POST /multi-agent/<collaboration_id>/assign

  • Assign agents to a specific collaboration project.
  • Example:

  {
    "agent_ids": [1, 2]
  }
  

• View Assigned Agents: GET /multi-agent/<collaboration_id>/agents

  • Get a list of agents assigned to a specific collaboration.

Agent Status and Progress 📊

• Update Agent Status: PUT /agents/<agent_id>/status

  • Update an agent's current status (e.g., idle, active, error).
  • Example:

  {
    "status": "active"
  }
  

• Get Collaboration Progress: GET /multi-agent/<collaboration_id>/progress

  • Retrieve the progress and status of all agents within a collaboration.

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🛠️ Example Usage

1. Create an Agent:

   curl -X POST http://127.0.0.1:5000/agents -H "Content-Type: application/json" -d '{"name": "Agent A", "capabilities": "Data Processing, Image Recognition"}'
   

2. Create a Collaboration:

   curl -X POST http://127.0.0.1:5000/multi-agent/create -H "Content-Type: application/json" -d '{"name": "Project Omega", "description": "Collaboration on data analysis."}'
   

3. Assign Agents to Collaboration:

   curl -X POST http://127.0.0.1:5000/multi-agent/1/assign -H "Content-Type: application/json" -d '{"agent_ids": [1, 2]}'
   

4. Check Collaboration Progress:

   curl http://127.0.0.1:5000/multi-agent/1/progress
   

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🔧 Technologies Used:

• Flask: Lightweight Python web framework for building APIs 🌍
• Flask-SQLAlchemy: ORM to easily manage database records 📄
• SQLite: Lightweight database for persistent storage 🗄️
• Python 3.7+: The programming language powering the backend 🐍

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License 📜

This project is licensed under the MIT License. See the LICENSE file for more details.

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💬 Support

For issues, bugs, or suggestions, feel free to open an issue or contribute via a pull request on the GitHub repository.

Let's create smarter AI together! 🤖💡✨