Engineering Notes
Thoughts and Ideas on AI by Muthukrishnan
Tag: Multi-Agent-Systems
Conceptual AI Agents Universe — System Design Document
A plugin-based platform architecture where each AI agent system is an independently subscribable capability. One interface, one orchestrator, unlimited agents — added without touching existing code.Error Recovery and Graceful Degradation in AI Agents
Learn how to build resilient AI agents that recover from failures, degrade gracefully, and maintain reliability in production environmentsKnowledge Distillation Teaching Smaller Agents From Larger Ones
Learn how knowledge distillation enables large, expensive AI agents to teach smaller, faster ones — reducing cost and latency while preserving capabilityImproving Decisions Through Multi-Agent Debate and Deliberation
How AI agents can reach better decisions by arguing with each other—exploring debate protocols, deliberation architectures, and the surprising power of constructive disagreement.Agent Communication Protocols and Message-Passing Patterns for Coordination
Master the protocols and patterns that enable AI agents to communicate, coordinate, and collaborate effectively in multi-agent systemsA Multi-Agent AI Ecosystem for Self-Improving Software
In the relentless pursuit of robust and secure software, developers have long relied on a combination of automated test...Building a Multi-Agent Debate System with LangGraph
## Introduction Multi-agent systems are a fascinating area of AI development, where multiple autonomous agents collabo...Emergence and Self-Organization When Simple Rules Create Complex Intelligence
Discover how simple local interactions between agents can spontaneously produce sophisticated global behaviors—from ant colonies to distributed AI systems.Collaborative Problem-Solving in Multi-Agent Systems with the Blackboard Architecture
Explore how the blackboard pattern enables multiple specialized agents to work together on complex problems through shared knowledge spaces and opportunistic reasoning.Auction-Based Task Allocation in Multi-Agent Systems
Learn how auction mechanisms from economics power efficient task distribution in multi-agent systems, from robot swarms to cloud computing.Programming Multi-Agent Conversations with AutoGen
## Concept Introduction **AutoGen** is a framework for simplifying the orchestration, optimization, and automation of ...Solving Complex Problems with AI Agent Swarms
## Concept Introduction An **AI Agent Swarm** is a system composed of a large number of relatively simple, often ident...Task Allocation for Machine Teamwork with the Contract Net Protocol
## Concept Introduction The **Contract Net Protocol** is a decentralized method for assigning tasks in a multi-agent s...Understanding Multi-Agent Behavior with Game Theory and Nash Equilibrium
## Concept Introduction **Game Theory** is the mathematical study of strategic decision-making among rational, self-in...AI Agent Communication Protocols MCP, ACP, A2A, and ANP
An overview of the most important communication protocols for multi-agent systems, and how they enable interoperability and scalability.