EP 01 / 233:42Live now
Why Multi-Agent?
Understand what an agent is, and why teams of agents beat monolithic prompts.
Welcome to Season 01 of the AG2 Labs. Before we write a single line of code, let's get aligned on what we're actually building over the next 23 episodes.
An agent is an LLM that can decide what to do, not just respond. Give it tools, a goal, and a way to see results, and it can plan, act, and recover from its own mistakes.
A multi-agent system is a team of those agents. Specialists that talk to each other, share state, and combine to do things no single prompt can.
Every episode in this season:
- Picks one specific concept or capability
- Lands at runnable code you can copy-paste
- Links to docs and source on GitHub
By Episode 23, you'll have built a real multi-agent system, observable, evaluated, and deployed.
No code today. Just the map. Let's go.
Links
Code
# Episode 01: Why Multi-Agent? # No code today. Just the map. # # A multi-agent system is a team of LLMs that: # 1. specialize , each agent has one job # 2. talk to each other, structured message passing # 3. share state and tools, observable, debuggable # # Across this season, we'll build one piece at a time. # Episode 02: your first ConversableAgent.