Tag: Multi-Agent Systems

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LangGraph vs CrewAI vs AutoGen — multi-agent framework comparison

LangGraph vs CrewAI vs AutoGen in 2026

By Surya Koritala

Choosing a multi-agent framework in 2026 is less about raw model access and more about orchestration philosophy. LangGraph, CrewAI, and…

LangSmith — observability platform from LangChain (langchain-ai/langchain)

LangSmith Production Setup for Multi-Agent Observability

By Surya Koritala

This tutorial walks through a practical LangSmith production setup for a Python LangGraph application in 2026: tracing a multi-agent workflow,…

The case against multi-agent frameworks — AutoGen repository visual

The Case Against Multi-Agent Frameworks (2026)

By Surya Koritala

I think most teams should stop reaching for a multi-agent framework by default. In 2026, the pitch still sounds seductive:…

LangGraph multi-agent crew tutorial — orchestration framework illustration

Build a LangGraph Multi-Agent Crew With Claude (Tutorial)

By Surya Koritala

This tutorial shows how to build a simple three-agent workflow in LangGraph using Claude: a researcher, a writer, and an…

DeepLearning.AI promo banner for the 'Multi AI Agent Systems with crewAI' short course

A Weekend With CrewAI: What I Built and What Broke

By Surya Koritala

I cleared a weekend, brewed coffee, and actually built something with CrewAI — the multi-agent framework everyone keeps citing. This…

Circuit board representing the agent-to-agent interoperability the A2A Protocol enables between AI agents across organizational boundaries

What Is the A2A Protocol? The Complete 2026 Guide

By Surya Koritala

A2A Protocol (Agent2Agent) is Google's open standard for AI agents to communicate across organizational boundaries. Launched April 2025 with 50+…