
Vistara Architecture
Understanding the foundational architecture that powers Vistara's AI platform. Learn how Zara integrates with Vistara OS to create a comprehensive AI development ecosystem.
Platform Architecture
Vistara is built on a layered architecture that provides the infrastructure needed for AI agent execution, workflow automation, and scalable development.

Architecture Overview
Vistara's architecture is designed to provide a robust, scalable foundation for AI-powered applications. The platform consists of multiple layers that work together to enable efficient AI agent execution and workflow automation.
Core Platform Components
System Architecture Layers
Application Layer
- AI Agents: Intelligent agents that can understand, reason, and act
- Workflows: Automated business processes and task sequences
- Development Tools: Integrated development environment and APIs
- User Interface: Web-based dashboard and management console
Zara Platform Layer
- Agent Runtime: Execution environment for AI agents
- Workflow Engine: Workflow creation and execution engine
- API Gateway: Unified API interface for external integration
- Service Mesh: Inter-service communication and routing
Vistara OS Layer
- Process Management: Process lifecycle and resource allocation
- Memory Management: Dynamic memory allocation and optimization
- File System: Virtual file system with persistent storage
- Network Stack: Network protocols and security
- Security Layer: Multi-layer security and isolation
Zara Platform Integration
Zara is built on top of Vistara OS and provides high-level abstractions for AI agent development and workflow automation.
Integration Architecture
Key Integration Points
- Resource Management: Zara requests resources from Vistara OS
- Process Isolation: Secure separation between different agents
- Memory Allocation: Dynamic memory allocation for AI workloads
- Network Access: Controlled network access for external services
- Security: Multi-layer security with agent isolation
System Requirements
Hardware Requirements
- CPU: Minimum 4 cores, recommended 8+ cores
- Memory: Minimum 8GB RAM, recommended 16GB+ RAM
- Storage: Minimum 50GB available space, SSD recommended
- Network: Stable internet connection for external API access
Software Requirements
- Operating System: Linux (Ubuntu 20.04+), macOS 12+, Windows 11+
- Node.js: Version 18.0.0 or higher
- Docker: Version 20.10+ for containerized deployments
- Git: For version control and deployment
Environment Requirements
- API Keys: OpenAI, market data, and other service API keys
- Network Access: Access to external APIs and services
- Security: Firewall and network security configuration
- Monitoring: System monitoring and logging infrastructure
Getting Started
Quick Setup
# Clone Vistara platform
git clone https://github.com/vistara-labs/vistara.git
cd vistara
# Install dependencies
npm install
# Configure environment
cp .env.example .env
# Edit .env with your API keys and settings
# Start the platform
npm run start
Configuration
// config.js
module.exports = {
platform: {
name: 'Vistara',
version: '1.0.0',
environment: process.env.NODE_ENV || 'production'
},
vistara: {
os: {
maxProcesses: 100,
memoryLimit: '16GB',
cpuLimit: '8 cores'
}
},
zara: {
agents: {
maxConcurrent: 50,
memoryLimit: '2GB',
timeout: '5m'
},
workflows: {
maxConcurrent: 100,
retryAttempts: 3,
timeout: '10m'
}
}
}
Environment Variables
# Platform Configuration
VISTARA_PLATFORM_ENV=production
VISTARA_LOG_LEVEL=info
VISTARA_SECURITY_LEVEL=high
# API Keys
OPENAI_API_KEY=your_openai_api_key
MARKET_API_KEY=your_market_api_key
SLACK_WEBHOOK=your_slack_webhook
# Resource Limits
VISTARA_MAX_AGENTS=50
VISTARA_MAX_WORKFLOWS=100
VISTARA_MEMORY_LIMIT=16GB
Learn More
- Vistara OS →: Core operating system layer
- Zara Platform →: AI development platform
- AI Agents →: Agent architecture and design
- Workflows →: Workflow engine architecture
- Quick Start →: Get up and running with Vistara
Ready to Explore Vistara Architecture?
Understand the foundational architecture that powers Vistara's AI platform.