Developing Multi-agent Systems
Design multi-agent systems with LangGraph — topologies, negotiation, hierarchies and game theory.
A comprehensive guide to designing and implementing multi-agent systems with LangGraph
"An agent is anything that can perceive its environment and act upon that environment."
"A collection of autonomous agents that interact within a shared environment to achieve goals."
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What's inside
15 sections- 1 Table of Contents
- 2 Introduction to Multi-Agent Systems
- 3 Architecture and Components of AI Agents
- 4 Architecture Patterns and Topologies
- 5 LangGraph — Core Concepts
- 6 Dependency Relationships Between Agents
- 7 Agent Interaction Strategies
- 8 Negotiation in Multi-Agent Systems
- 9 Demo: Elevator Controller with the CNP
- 10 Organizational Structures in Multi-Agent Systems
- 11 Advanced Scenarios — Network Architecture
- 12 Advanced Scenarios — Hierarchical Systems
- 13 Game Theory Applied to Multi-Agent Systems
- 14 Demo: Agentic Systems Based on Game Theory
- 15 Resources and References
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