102. Multi-Agent Systems: When One Agent Is Not Enough

<p>Single-agent AI systems peaked in 2025 — you gave one LLM a prompt, some tools, and a goal, and it did reasonably well on bounded tasks.</p> <p>In 2026, multi-agent systems

<p>Every AI agent tutorial follows the same script:</p> <ol> <li>Import LangChain</li> <li>Define some tools</li> <li>Call the LLM in a loop</li> <li>Ship it!</li> </ol> <p>And it

<h2> Introduction to Multi-Agent Systems </h2> <p>Multi-agent systems represent a paradigm shift from single AI models to collaborative networks of autonomous agents. Each agent

<h1> AI Agent Framework </h1> <p>Build production-grade multi-agent systems that can reason, plan, use tools, and collaborate. This framework provides battle-tested patterns for

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1voz4jd/3_ai_agent_patterns_explained_know_which_pattern/"> <img alt="3 AI Agent Patterns Explained Know which

<p>Single agents hit their limits on complex workflows. Microsoft Agent Framework gives you sequential, concurrent, handoff, and group chat orchestration patterns for multi-agent

<h2> Table of Contents </h2> <ol> <li>What an Orchestrator Actually Is </li> <li>The Four Core Responsibilities </li> <li>How Orchestrators Communicate With Agents </li> <li>The

arXiv:2605.13850v1 Announce Type: new Abstract: Existing frameworks for LLM-based agent architectures describe systems from a single perspective: industry guides (Anthropic,