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Design and coordinate multi-agent systems where specialized agents work together to solve complex problems. Covers agent communication, task delegation,…
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
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