Free Lesson

Agent Harnesses: LangGraph vs OpenAI vs CrewAI vs Microsoft

60 min

Nov 11, 2026 7:30 AM

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What you'll learn

Compare Major Agent Harnesses

Understand the architectural differences between LangGraph, OpenAI Agents SDK, CrewAI, and Microsoft Agent Framework.

Design Stateful and Human-in-the-Loop Workflows

Learn how different frameworks approach state, orchestration, checkpoints, approvals, routing and workflow recovery.

Understand Multi-Agent Design and Portability

See what can move easily between frameworks, and what becomes tightly coupled to the runtime.

Build Durable Agentic Engineering Skills

Understand which capabilities remain valuable even as individual frameworks, APIs and abstractions evolve.

Plan your career in Agentic AI infrastructure

Map framework, distributed-systems and production AI skills to careers in Agentic Infrastructure and AI Platforms.

Why this topic matters

Agent frameworks are changing quickly, and engineers can easily become overly dependent on one ecosystem. The durable skills are deeper: workflow design, state, tool contracts, orchestration, human approval, evaluation, reliability and production infrastructure. Understanding both the frameworks and the underlying concepts helps engineers make better architecture choices and remain adaptable as the ecosystem evolves.