Autonomous Enterprise Operating System (AEOS)

A multi-agent orchestration layer that manages end-to-end business outcomes across enterprise systems.

Architecture Overview

AEOS implements a Hierarchical Multi-Agent System (MAS) with specialized squads:

Agent Squads

1. Orchestration Squad

   • Master Planner: Decomposes high-level goals into executable sub-tasks
   • Conflict Mediator: Resolves contradictions between agents

2. Compliance & ESD Squad

   • ESG Auditor: Real-time monitoring of sustainability metrics
   • Policy Enforcer: Ensures compliance with corporate ethics and regulations

3. Operational Squad

   • Data Integration Agent: Integrates with legacy ERPs using MCP
   • Tool Specialist: Executes technical actions and API calls

4. Governance Squad

   • Reflector Agent: Reviews agent work to detect errors
   • Audit Logger: Maintains immutable audit trails

Key Features

• Model Context Protocol (MCP): Secure integration with enterprise systems
• Digital Twin of Organization (DTO): Simulation layer for testing decisions
• Advanced Reasoning Patterns: CoT, ToT, ReAct, and Reflexion
• Shared State & Memory: Centralized session management
• Agentic Observability: Real-time monitoring and metrics

Installation

pip install -r requirements.txt

Usage

from aeos import AEOS

# Initialize the system
aeos = AEOS()

# Execute a high-level goal
result = aeos.execute_goal(
    "Optimize supply chain to meet 2026 ESD targets"
)

Configuration

See config/aeos_config.yaml for system configuration options.

License

Enterprise License