Multi-Agent System Architecture
Last updated
Last updated
HiveX's power comes from its innovative Multi-Agent System (MAS) architecture, where multiple AI agents work together harmoniously to deliver a comprehensive DeFAI experience. This document explains how our MAS works and why it's a game-changer for DeFi operations. Want to see our agents in action? Check out our or explore our complete .
Traditional DeFi tools often use single-purpose bots or monolithic systems. Our multi-agent approach offers several key advantages:
Specialization: Each agent excels at specific tasks, leading to better performance
Redundancy: Multiple agents can handle similar tasks, ensuring system reliability
Scalability: New agents can be added without disrupting existing operations
Flexibility: Agents can be updated or replaced individually
Emergent Intelligence: Agents collaborate to solve complex problems
Orchestration Layer
n8n as the primary coordination and orchestration system.
ElizaOS as the main agentic framework for protocols and tools integration.
Agent Types
Internal
Public
Private
ElizaOS serves as our primary agentic framework, providing:
Agent Runtime
Clients Integration
Plugins Integration
On-Chain Features
n8n powers our automated workflows and agent orchestration, handling:
Agent trigger conditions
Data transformation
API integrations
Error handling
Task scheduling
We're continuously evolving our MAS with:
Advanced AI models integration
Enhanced collaboration patterns
Improved learning capabilities
New agent specializations
Extended protocol support
For developers looking to extend our MAS:
Review our
Explore documentation
Study examples
Check
