// TAG: AUTOGEN

Dive into the core patterns for building multi-step AI agent workflows. Explore sequential, parallel, and graph-based orchestration, and understand …

Learn how to integrate existing AI agents from popular frameworks with Agentic Lightening for training and optimization.

Dive into AutoGen, Microsoft's framework for building multi-agent systems that collaborate through conversational AI. Learn to define agent roles, …

Dive deep into creating robust tools for AI agents, integrating external APIs, handling complex inputs/outputs, error management, and asynchronous …

Learn how to design, build, and coordinate multiple AI agents for complex tasks using agent orchestration.

Explore how AI agent frameworks manage short-term and long-term memory, and track workflow state to build intelligent, conversational, and persistent …

Dive into advanced design patterns for building robust, scalable, and reliable AI agents ready for production environments.

Master debugging, testing, and monitoring strategies for AI agent systems built with LangGraph, AutoGen, CrewAI, and Semantic Kernel to ensure …

Compare leading AI agent frameworks like LangGraph, AutoGen, CrewAI, and Semantic Kernel. Understand their core architectures, strengths, and …

Learn to design and build sophisticated AI applications using modern agent frameworks like LangGraph, AutoGen, CrewAI, and Semantic Kernel, focusing …

Explore leading AI agent frameworks like LangGraph, AutoGen, CrewAI, and Semantic Kernel. Master multi-step workflows, memory, and tool orchestration …

A comprehensive guide to building AI agents and multi-agent systems using the Microsoft Agent Framework.