#multi-agent-systems

TemplateRenderAgent: Transforming Agent Outputs into Visual Experiences

Introduction

Scaling AI: Architectural Shift from Monolithic to Multi-Agent Systems

In the early days of enterprise LLM deployment, the standard approach was simple: construct a single, highly capable “super agent,” give it…

Never Hand Over the Keys, Make the Context Visible — Building “moeca”, a Desktop App for Securely…

~Designing AI Guardrails for Multi-Agent Systems~

Peer-Preservation May Still Be “Self-Interested” Rather Than “Altruistic”: Using a Four-Type…

A conceptual framework for distinguishing instrumental dependence from relational dependence in multi-agent systems.

Architecting a Multi-Agent AI Travel Planner on AWS: Integrating Live Flights, Grounded Hotels ,RAG…

Travel planning is a multi-dimensional puzzle. To craft a perfect itinerary, one must cross-reference flight schedules, lodging…

Beyond the Chatbot: Why Agentic AI is the Next Major Revenue Driver for Your Business

Let’s be honest about the current state of enterprise AI. You’ve probably rolled out a generative AI tool, added a chatbot to your website…

How I Fixed LangGraph Hallucinations From Parallel Dispatch With One If-Statement

How one if-statement fixed a parallel wave that was silently loading the wrong prompt.

One AI Guesses the Car Damage. A Multi-Agent Team Over MCP Proves It.

A multi-agent system that looks at a photo of a damaged vehicle and reasons its way to a condition report, a repair estimate, and a fraud…

Why Your AI Workflow Works in the Demo and Falls Apart in Production

Why does a multi-step AI workflow that looked flawless in testing start failing constantly once it’s handling real volume?

Multi-Agent Orchestration with Copilot Studio — Part 3: The Build 2026 Rebuild

Microsoft rebuilt Copilot Studio at Build 2026: a four-surface agent model, Skills as Markdown, a Memory surface, a new agentic…

How Shivam Shivam is shaping trusted AI at ZS

Discover how Shivam is turning agentic AI into trusted, real-world impact through governance, innovation and scalable decision design.

Beyond Parallel Sessions: Why True Multi Agent Orchestration Needs More Than Isolation

Understanding the five essential ingredients that separate coordinated AI systems from agents that simply happen to run next to each other

Multi-Agent Orchestration with Copilot Studio — Part 2:

Four end-to-end scenarios on different orchestration patterns, a starter MCP server inventory, and the ten anti-patterns that recur in…

Parallel Compliance Engine: Drive-to-Sheets Multi-Agent Orchestration

When building Generative AI applications, developers often encounter a massive bottleneck: sequential processing. If your LLM script takes…

Why My Multi-Agent Router Ignored Hard Bans (Fix: 41 Lines)

41 lines fixed a regression that cost me 4 failed test runs. I assumed each layer’s prose ban was strong enough to override Sonnet’s…

Cognitive Hidden Intelligence: Building AI Systems That Show Their Work

How I designed a healthcare AI framework that thinks, traces, validates, and escalates before it speaks.

Diving into the deep with LangChain & LangGraph — Developing reusable components in Multi Agent…

I am always trying to learn the components that drive applications and frameworks. It’s in my nature to understand what is happening “under…

Multi-Agent Orchestration with Copilot Studio — Part 1: Foundations

A long-form, end-to-end foundation for building multi-agent systems in Microsoft Copilot Studio — when to split, the five surfaces, four…

Building Collaborative AI Agents With CrewAI

What are AI Agents?

Your SaaS Database Is Becoming an Agent Runtime

There is a growing gap between agents that sound helpful and agents that can work safely inside a SaaS product. The difference is usually…

Four Ways to Wire a Multi-Agent System (and When Each One Breaks)

TL;DR: Once you have decided you actually need more than one agent, the next choice matters more than most teams realize: how you wire them…

AWS Bedrock AgentCore for Reliable Multi-User AI Agent Collaboration

How shared memory, isolated sessions, runtime contracts, integration checks, and evidence-first observability turn successful-looking agent…

[Tutorial] Building a Multi-Agent Travel Planner with Google ADK

Most travel apps optimize for popularity and convenience, often directing users toward overcrowded, carbon-intensive destinations.

Mastering Agent Handoffs in Copilot: Build Powerful Multi-Agent Workflows

Create specialized agents and seamless handoffs to make Copilot operate like a real development team.

Building My First AI Agent During HackerRank Orchestrate — From Zero Knowledge to Ranking #909

When I joined HackerRank Orchestrate, I had one simple intention:

# Why Stateless AI Agents Fail in Business and How We Built a Memory-Driven Multi-Agent Company

Building Mini CompanyOS AI with Hindsight Memory and cascadeflow Routing

Building Mini CompanyOS AI: A Multi-Agent Business Decision Platform

Introduction

Why My CEO Agent Stopped Ignoring Its Departments

Building Mini CompanyOS AI with Hindsight Memory and cascadeflow Routing

How to Deploy a Multi-Agent AI System in Production: The Ultimate 2026 Guide

Last September, a fintech team I was advising shipped their first multi-agent system to production on a Friday afternoon. By Monday, one…

Prismer Cloud: The Open Source Intelligence Runtime That Gives AI Agents Memory, Identity, and the…

5 Things That Break in Multi-Agent AI Systems (That Nobody Warns You About)

This is Part 2 of 4 in the Enterprise AI Orchestration series by Prasanna Vaidya, Co-founder & CEO, Gyde.

Why Packet Contracts Matter In Runtime Governance

While developing SIIHA Safety Guardrail v1.0-alpha, I spent a lot of time designing deterministic rules, routing logic, response…

Shared Memory for Multi-Agent Systems Without a Giant Prompt

Here’s what happened in prod: our first agent system did not fail because the model was weak. It failed because every agent had its own…

The Contract Pattern for Multi-Agent Systems

Why the language you use to describe your agents quietly decides whether they survive contact with production.

Stop Calling Everything an “Agent” — A Beginner’s Map to What’s Actually Different

Four words people throw around like synonyms. They’re not — and picking the wrong one is why your AI project is overbuilt, slow, or quietly…

“Create Multi-Agent Coding Systems in Semantic Kernel”

If your goal is to create a multi-agent coding system in Semantic Kernel, the typical workflow is:

Stop Trusting Your AI Agents — Govern Them

You built an AI agent. It works great.

그래프 에이전트와 코드 에이전트 기반의 실전 멀티에이전트시스템

부정과 탐욕이 난무하는 엔론의 세계로!

You Do Not Have an AI Problem. You Have Ten AI Tools and No Control Tower.

Every agent works on its own. The failures happen in the space between them, the space nobody is watching.

An AI Agent Output Checker for Workflow Verification, Residual Ledgers, and Reusable Abstraction…

Percolation Inversion Compiler

Building a Production-Ready Multi-Agent AI System with LangGraph and LangSmith

Lessons from My Development Experience as an AI Engineer

L’avenir des Systèmes Multi Agents IA : vers une autonomie gouvernée

Les Systèmes Multi Agents IA (SMA-IA ou SMA) ont quitté les laboratoires et les bacs à sable pour devenir le cœur des plateformes…

How Self-Hosted AI Platforms Are Changing Enterprise Security and Governance

The AI Implementation Problem Nobody Talks About

Forget Static Context: Why Your 2026 AI Agents Need Episodic Memory

In 2024, we built Retrieval-Augmented Generation (RAG) systems to give our agents knowledge. We thought that if the vector database had the…

Building Krishi-Mitra: A Beginner’s Guide to Multi-Agent AI for Agriculture

Imagine you are a farmer trying to figure out the exact seed subsidy available for your district, or trying to locate the nearest cold…

Inversion of Control in Multi-agent Solutions | Context Management | When Sub-agents take control…

A famous Hollywood saying — “Don’t call us, we will call you”- that was quoted in 1980s Xerox PARC’s Multi-windows OS paper describing…

Why AI Agents Fail When They Try to Agree: The Hidden Architecture Behind Multi-Agent LLMs and…

AI agents • multi-agent systems • LLM architecture • prediction markets • AI forecasting • coordination design

What If the Next Programming Language Isn’t Meant for Developers?

Every major programming language in history was built around the same assumption.

Percolation Inversion Compiler: An AI Agent Output Checker for Safer, More Reusable Workflows

AI agents can now write code, summarize documents, inspect repositories, draft plans, call tools, and generate long chains of reasoning…

Scaling Laws for Agent Harnesses — 추론 토큰량보다 ‘유효 피드백 연산량(EFC)’이 시스템 성능을 좌우한다

1. 한눈에 보는 핵심 요약 (Executive Summary)