What Are Multi-Agent Systems?
A multi-agent system is a group of AI agents that work together to complete tasks.
Brain (LLM)
The reasoning engine that processes information and makes decisions based on context and goals.
Tools
External capabilities that extend agent abilities: APIs, databases, web search, and more.
Memory
Persistent storage for context, learned patterns, and conversation history.
How Agents Communicate
Multi-Agent
AI Systems
Learn how multiple AI agents think, communicate, and work together to solve complex problems
6
MODULES
4
SIMULATIONS
∞
POSSIBILITIES
Interactive Simulations
Watch agents in action and understand complex concepts visually
Single Agent vs Multi-Agent
Compare task completion between single and multiple agents working together
Agents Talking to Each Other
Visualize message passing and information exchange between agents
Task Delegation Between Agents
Watch how a manager agent distributes work to specialized workers
Failure & Recovery
See how multi-agent systems handle errors and recover gracefully
Agent Playground
Experiment with multiple AI agents in real time. Design workflows, watch agents collaborate, and build your own multi-agent systems.
- Drag-and-drop agent builder
- Real-time message visualization
- Pre-built agent templates
- Export and share your designs
What You Will Build
By the end of this course, you will design AI systems where agents think, communicate, and act together.
Multi-Agent Task Solvers
Complex problem decomposition and parallel execution
Collaboration Workflows
Orchestrated agent pipelines and feedback loops
Tool-Using Agents
API integration and external service orchestration
Goal-Driven Systems
Autonomous agents with planning and adaptation
Resources
Additional materials to accelerate your learning
Documentation
Comprehensive guides and API references
Code Examples
Ready-to-use implementations and patterns
Community
Join discussions and get help from peers