Multi-Agent Orchestration

Design and orchestrate sophisticated multi-agent systems where specialized agents collaborate to solve complex problems, combining different expertise and perspectives.

Quick Start

Get started with multi-agent implementations in the examples and utilities:

• Examples: See examples/ directory for complete implementations:

  • orchestration_patterns.py - Sequential, parallel, hierarchical, and consensus orchestration
  • framework_implementations.py - Templates for CrewAI, AutoGen, LangGraph, and Swarm

• Utilities: See scripts/ directory for helper modules:

  • agent_communication.py - Message broker, shared memory, and communication protocols
  • workflow_management.py - Workflow execution, optimization, and monitoring
  • benchmarking.py - Team performance and agent effectiveness metrics

Overview