ALMAZE: Intelligent Multi-Agent Problem-Solving Ecosystem
Table of Contents
- Introduction
- Safety Guidelines
- AI Agents
- System Architecture
- Getting Started
- Core Components
- Frontend Technologies
- Contributing
- License
Introduction
ALMAZE is an advanced multi-agent AI system designed to navigate complex problem-solving landscapes. By leveraging specialized agents working in harmony, ALMAZE breaks down intricate challenges and discovers innovative solutions.
Safety Guidelines
To ensure responsible and secure AI interaction:
- Ethical AI Principles: Prioritize transparency, fairness, and user safety
- Controlled Environment: Implement strict access controls and monitoring
- Data Privacy: Protect user information with robust encryption
- Human Oversight: Maintain human intervention for critical decisions
- Continuous Validation: Regularly audit agent behaviors and outputs
AI Agents
ALMAZE comprises specialized agents, each with a unique role in solving complex problems:
🧭 Compass (Central Intelligence)
- Primary Function: Task interpretation and workflow management
- Analyzes user goals
- Coordinates agent interactions
- Guides strategic problem-solving
🏗️ Architect (System Designer)
- Primary Function: Agent ecosystem management and evolution
- Creates and refines agent structures
- Ensures adaptive system capabilities
- Optimizes agent collaboration frameworks
🔧 Toolsmith (Resource Creator)
- Primary Function: Developing and maintaining agent tools
- Crafts specialized resources
- Enhances agent capabilities
- Provides necessary instruments for task navigation
🔍 Scout (Knowledge Gatherer)
- Primary Function: Information exploration and mapping
- Collects and synthesizes critical data
- Provides contextual insights
- Supports informed decision-making
⭐ TechSage ( Knowledge Amplifier)
- Primary Function: Handles tasks related to software development
- Intelligent Knowledge Mapping
- Contextual Intelligence
- Cross-Domain Learning
System Architecture
ALMAZE follows a comprehensive, layered architecture:
- Backend: Python-based multi-agent system
- Frontend: React & Next.js web application
- Authentication: Privy for secure user management
- Real-time Communication: RestAPIs integration
Getting Started
Prerequisites
Backend Requirements
- Python 3.8+
- pip package manager
- Virtual environment support
Frontend Requirements
- Node.js 18+
- npm or yarn
- Next.js 14
- React 18+
Backend Installation
# Clone the repository
git clone https://github.com/Almaze-Labs/almaze-api.git
cd almaze-api
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
Frontend Installation
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# Clone the repository
git clone https://github.com/Almaze-Labs/almaze-app.git
cd almaze-app
# Install dependencies
npm install
# Or using yarn
yarn install
# Copy environment template
cp .env.example .env.local
# Fill in required environment variables
Configuration
- Configure backend agent parameters
- Set up frontend environment variables
- Configure authentication providers
- Set up database connections
Running the System
Backend
# Basic execution
python app.py
Frontend
# Development mode
npm run dev
# or
yarn dev
# Production build
npm run build
npm run start
# or
yarn build
yarn start
Frontend Technologies
Core Technologies
- Framework: Next.js 14
- UI Library: React
- State Management: Redux Toolkit
- Authentication: Privy
- Styling: Tailwind CSS
Key Frontend Features
- Responsive Design: Mobile and desktop-friendly
- Real-time Agent Interaction: RestAPIs-powered updates
- Secure Authentication: Privy-managed user sessions
- Performance Optimization: Server-side rendering
- Dynamic Agent Visualization: Interactive agent status and workflow
Authentication Flow
- User registers/logs in via Privy
- Secure token generation
- Role-based access control
- Session management
Core Components
- Multi-Agent Architecture: Collaborative problem-solving ecosystem
- Dynamic Adaptation: Agents evolve to meet changing challenges
- Intelligent Coordination: Seamless interaction between specialized agents
- Flexible Task Management: Advanced workflow optimization
Contributing
We welcome contributions! Help us expand the ALMAZE ecosystem.
Development Setup
# Backend development
cd almaze-api
pip install -r requirements-dev.txt
# Frontend development
cd almaze-app
Contribution Guidelines
- Follow our Code of Conduct
- Submit detailed pull requests
- Maintain clean, documented code
- Pass all automated tests
License
This project is licensed under the MIT License.
Acknowledgments
- Inspired by cutting-edge AI research
- Dedicated to pushing the boundaries of intelligent problem-solving
Disclaimer: ALMAZE is an experimental AI system. Use responsibly and verify critical outputs.
Description
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