// TAG: MULTI-AGENT SYSTEMS

Explore the paradigm shift in AI engineering, moving from individual models to complex, orchestrated multi-agent systems. Understand AI workflow …

Explore Agent Operating Systems (Agent OS), the foundational layer for building and managing intelligent AI agents, covering core components, …

Learn to orchestrate multi-agent AI workflows in Kanbots, assigning distinct personas for tasks like code generation and review using Git worktrees.

Explore AI Orchestration Engines, their role in coordinating multi-agent systems, key components, and practical patterns for building complex, …

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

Learn how to build collaborative customer service workflows using OpenAI's multi-agent orchestration framework.

Explore CrewAI, a powerful framework for orchestrating role-playing, autonomous AI agents to achieve complex collective goals through structured tasks …

Explore agentic retrieval, a paradigm where LLMs act as intelligent agents to plan and execute complex information retrieval tasks, going beyond …

Dive deep into advanced agent architectures like ReAct, Reflection, and iterative planning-execution loops to build more robust and autonomous AI …

Learn to build a multi-agent customer support system using OpenAI's Agents SDK, covering agent design, implementation, and testing.

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

Explore the world of multi-agent systems, learning how to design, coordinate, and orchestrate multiple autonomous AI agents to solve complex problems, …

Build a collaborative AI assistant using multi-agent principles, leveraging tools and orchestration to solve complex problems.

Learn how to design and orchestrate complex AI-driven workflows using multi-agent systems.

Explore advanced architectural patterns and design principles for building robust, scalable, and intelligent AI agent systems, including Agent …

Explore the critical aspects of testing, evaluating, and observing AI agents and multi-agent systems to ensure reliability, manage emergent behaviors, …

Build an automated financial analysis assistant using CrewAI. Learn to define agents, integrate tools, manage tasks, and orchestrate a multi-step …

Learn to build an autonomous workflow agent using Python and LLM APIs.

Learn to build a collaborative multi-agent system using Python and LLMs, enhancing problem-solving through collective intelligence.

Master Kanbots: integrate AI agents like Claude/Codex, leverage git worktrees for isolated runs, and orchestrate multi-agent dev workflows with …

Explore Agentic AI Systems in 2026, covering autonomous agent architectures like ReAct, planning, memory, multi-agent coordination, and real-world …

Explore the next generation of AI engineering, covering AI workflow languages, agent operating systems, orchestration engines, and AI-native …