#langgraph

Hands-on deep dive into LangChain 1.0 — agent protocol, LangGraph runtime, tool integrations, evals, and the migration path from 0.x to 1.0.

ReAct, Reflexion, plan-execute, multi-agent debate, swarm, hierarchy, blackboard, graph-orchestrated patterns. Reference architectures + trade-offs.

Twelve agency workflows as multi-agent graphs — research, brief, draft, audit, review, deploy. Reference architectures + role taxonomy + handoffs.

Multi-agent frameworks compared on graph control, observability, durable execution, MCP support, and agency fit. With 4 reference architectures.

OpenAI Agents SDK, LangGraph, and CrewAI compared across 30 criteria — architecture, tool model, memory, observability, and agency use-case fit.

Build custom AI agents with Claude, MCP, and LangGraph, then sell them as products or services. A developer's complete guide to $2K-$8K/month revenue.

Compare AI workflow orchestration: LangGraph, CrewAI, AutoGen, and custom solutions. Build scalable multi-agent systems for enterprise automation.

LangChain vs LangGraph for AI agents: when to use each, architecture differences, and migration strategies. Code examples and best practices.

Master multi-agent AI with LangGraph, CrewAI, AutoGen comparisons. Learn Cursor parallel agents, Warp 2.0, and MCP agent interoperability patterns.

Build production-ready AI agents with LangChain: ReAct pattern, Tools, Memory, LangGraph. Complete Python guide with code examples and best practices.