AI Agent Engineering

Build AI agents that reason, plan, and use tools. Covers ReAct architecture, LangChain and CrewAI frameworks with working Python examples for real applications.

Build multi-agent AI systems that coordinate like real teams. Covers 3 architecture patterns, CrewAI, AutoGen, LangGraph frameworks with working examples.

An in-depth analysis of the CrewAI framework, taking you through how to build efficient enterprise-grade multi-agent automated workflows via role-playing and task delegation. This article provides a practical case study of an automated market research team and source code analysis.

An in-depth comparison of the design philosophies, pros and cons, and applicable scenarios of LangGraph and AutoGen, two mainstream multi-agent frameworks. This article helps developers make the best selection in complex Multi-Agent system development through building a real code writing and testing task.

A deep dive into the 2026 open-source AI agent landscape. Compare leading frameworks like OpenClaw, CrewAI, LangGraph, and AutoGPT. Explore how the MCP protocol is reshaping the plugin ecosystem and provide enterprise-grade agent safety solutions.

A deep dive into OpenClaw—the most powerful open-source autonomous agent framework of 2025. Explore its evolution from Clawdbot to Moltbot, its core architecture, and how to self-host your own versatile AI assistant.