This repository contains an advanced AI application built using CrewAI. It leverages a Multi-Agent System (MAS) framework to integrate System 2 thinking, enabling AI to handle complex decision-making through both intuitive (System 1) and analytical (System 2) processes. Unlike traditional single-agent AI systems such as TensorFlow Agents or OpenAI’s Gym, CrewAI enables scalable and collaborative AI operations without requiring extensive programming expertise.
- Multi-Agent Collaboration: CrewAI utilizes dynamic agent interactions to improve decision-making and adaptability.
- System 2 Thinking Integration: Enables deliberate, analytical, and context-aware AI reasoning.
- Scalability & Flexibility: Designed for complex real-world applications, including smart grid management, automated customer support, and intelligent advertising.
CrewAI operates on a multi-agent framework where each agent specializes in tasks like data analysis, decision-making, and resource management. These agents interact in real-time, ensuring efficient task execution.
Agents dynamically adjust roles and priorities based on the problem domain. This adaptive mechanism ensures optimal performance for different challenges.
CrewAI utilizes a hierarchical agent structure, where leader agents coordinate sub-agents to streamline complex decision-making processes efficiently.
CrewAI employs multiple advanced AI decision protocols:
- Contract Net Protocol: Efficient task allocation through agent bidding.
- Consensus Algorithms (Raft, Paxos): Ensures system-wide agreement on decisions.
- Negotiation Protocols: Enables agents to reach mutually optimal solutions in conflicting scenarios.
- Framework: CrewAI (Multi-Agent AI)
- Algorithms: Contract Net Protocol, Raft, Paxos, Negotiation Models
- Core AI Methodologies: Multi-Agent Systems (MAS), System 2 Thinking, Adaptive Learning
- Deployment: Cloud-Based Integration
- Clone the Repository
git clone https://github.com/SubashSK777/Multi-Agent-AI.git- Install CrewAI
- Follow the installation guide from CrewAI Docs
- Import the Project
- Load the project into CrewAI’s platform
- Configure Settings
- Set up agent roles, parameters, and task automation settings
- Run the AI
- Deploy and execute multi-agent interactions for enhanced decision-making
- Smart Grid Management: Optimizes real-time energy distribution.
- Automated Customer Service: Enhances support interactions with intelligent responses.
- Intelligent Advertising: Personalizes marketing campaigns through agent-based decision-making.
- Scalability Issues: Communication overhead increases as agents scale.
- Coordination Complexity: Ensuring agents align towards a shared goal.
- Dynamic Role Assignment: Allocates resources based on real-time agent performance.
- Hierarchical Task Management: Reduces conflicts and improves execution efficiency.
For any inquiries, feel free to reach out: Email: [email protected]