agents

Designing Multi-Agent Workflows, Systems, Handoffs, and Graphs with LangGraph and CrewAI

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Introduction Single-agent LLM systems are limited by perspective, task scope, and memory. Real world problems require role-based multi-agent collaboration. In this article, you will learn how to: Why Multi-Agent Design Matters No single agent can: Multi-agent systems solve this by using separation of concern and role-specific expertise. Architecturally, this is similar to service-oriented design. LangGraph … Read more

Building Smart Agents, Reasoning, Memory, and Planning in Production LLM Systems

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Introduction Memory defines intelligence in AI systems. Without it, even the best reasoning models repeat themselves, lose context, and make brittle decisions. In this article, we will explore how to build memory-aware ReAct agents using LangChain, LangGraph, and LangMem. You will learn how to retain history, plan across multiple steps, and integrate persistent memory into … Read more