AI Agent System

Multi-agent architecture for autonomous portfolio management

Production Status: 10/10 Tests Passing

All 5 agents fully operational with real integrations. System validated with live CoinGecko prices, ZK-STARK proofs, and x402 gasless settlements.

5 Agents OperationalCoinGecko IntegrationZK Proofs Validatedx402 Gasless

Available Agents

Lead Agent

Central coordinator that parses user intent, delegates tasks to specialized agents, and aggregates results.

Capabilities

Natural language intent parsing
Task delegation and routing
Result aggregation and synthesis
Inter-agent communication coordination
Strategy execution orchestration

Implementation

agents/core/LeadAgent.ts

Extends: BaseAgent

MessageBus Events

strategy-inputagent-resulttask-resultstatus-update

Current Status

Fully operational - orchestrates all 5 agents with complete end-to-end workflow validated

Agent Architecture

MessageBus Communication

All agents communicate through a central MessageBus using EventEmitter3 for inter-agent coordination.

agents/communication/MessageBus.ts

Base Agent Class

All specialized agents extend BaseAgent which provides core functionality for task execution and messaging.

agents/core/BaseAgent.ts

Message Flow

User Input → Lead Agent (parse intent)
    ↓
MessageBus (route to specialized agents)
    ↓
Risk/Hedging/Settlement/Reporting Agent (execute task)
    ↓
MessageBus (return results)
    ↓
Lead Agent (aggregate & respond to user)