Multi-Agent Systems
Orchestrate swarms of specialized agents to solve complex problems. Part of the free AI Agents Academy — every lesson below is open to everyone, no signup required.
// LESSONS IN THIS MODULE
- 01Swarm Architectures10 min · 80 XP
Why Multiple Agents? A single prompt fails at complex tasks. By breaking a problem down and assigning specialized "personas" with specific tools to di...
- 02Frameworks Deep Dive12 min · 90 XP
CrewAI vs. LangGraph vs. AutoGen CrewAI provides high-level abstractions based on real-world roles. You define a Role , Goal , and Backstory . It is f...
- 03Agent Interoperability (A2A)10 min · 90 XP
The A2A Protocol As agents proliferate, they need to talk to each other. A2A (Agent-to-Agent) , launched by Google in April 2025 and subsequently dona...
- 04Agent Communication Protocols10 min · 90 XP
How Agents Talk to Each Other In multi-agent systems, the way agents share information is as important as the agents themselves. Poor communication pa...
- 05Building a Multi-Agent Pipeline12 min · 100 XP
Hands-On: Research-Write-Review Pipeline Let's build a practical 3-agent pipeline: Researcher gathers information, Writer drafts content, Reviewer pro...
- 06LangGraph Functional API15 min · 100 XP
A Pythonic Alternative to Graph Construction LangGraph v1.2+ introduced the Functional API , a radically simpler way to build agents using Python deco...
- 07OpenAI Agents SDK15 min · 100 XP
Production Agent Framework from OpenAI The OpenAI Agents SDK (open-source, Python) provides a lightweight, opinionated framework for building producti...
- 08Programmatic Tool Calling10 min · 100 XP
Letting the Model Write the Orchestration Code The OpenAI Agents SDK's Programmatic Tool Calling (added in v0.19.0 ) changes how a model coordinates m...