Multi-Agent Systems: From Theory to Practice
Multi-agent systems, from fundamentals to practical implementation
π
February 28, 2025
π Online Presentation
Multi-Agent Systems: From Theory to Practice
Presentation Content
- questions - Questions Overview
- part1 - Part 1: Philosophy (Dao)
- what-is-agent - What is an Agent
- before-structure - Basic Structure of Agents
- augmented-llm - Augmented LLM
- workflow-agent - Workflows vs Agents
- agent-definition - Agent Definition
- workflow-vs-agent - Workflow vs Agent
- agent-landscape - Agent Application Landscape
- why-agent - Why Do We Need Agents
- multi-agent-basics - Multi-Agent Fundamentals
- key-factors - Key Factors
- human-model-interaction - Human-Model Interaction
- human-agent-interaction - Human-Agent Interaction
- limitations - Limitations and Challenges
- what-is-agent - What is an Agent
- part2 - Part 2: Techniques (Shu)
- workflow-patterns - Workflow Patterns
- pattern-intro - Pattern Introduction
- workflow-serial-processing - Serial Processing
- workflow-parallel-processing - Parallel Processing
- workflow-conditional-processing - Conditional Processing
- workflow-loop-processing - Loop Processing
- agent-patterns - Agent Patterns
- single-agent-patterns - Single Agent Patterns
- react-pattern - ReAct Pattern
- plan-execute-pattern - Plan & Execute Pattern
- reflection-pattern - Reflection Pattern
- multi-agent-patterns - Multi-Agent Patterns
- hierarchical-pattern - Hierarchical Pattern
- peer-to-peer-pattern - Peer-to-Peer Pattern
- marketplace-pattern - Marketplace Pattern
- single-agent-patterns - Single Agent Patterns
- workflow-patterns - Workflow Patterns
- part3 - Part 3: Implementation (Qi)
- framework-selection - Framework Selection
- langgraph - LangGraph
- autogen - AutoGen
- swarm - Swarm
- comparison - Framework Comparison
- implementation-best-practices - Implementation Best Practices
- design-principles - Design Principles
- error-handling - Error Handling
- monitoring-logging - Monitoring and Logging
- case-studies - Case Studies
- code-generation - Code Generation
- research-assistant - Research Assistant
- customer-service - Customer Service
- framework-selection - Framework Selection
Key Topics Covered
1. Theoretical Foundations
- Agent Definition: Understanding what constitutes an intelligent agent
- System Architecture: Different organizational structures for multi-agent systems
- Interaction Patterns: How agents communicate and collaborate
2. Design Patterns
- Workflow Patterns: Serial, parallel, conditional, and loop processing
- Agent Patterns: ReAct, Plan & Execute, Reflection patterns
- Multi-Agent Coordination: Hierarchical, peer-to-peer, and marketplace patterns
3. Practical Implementation
- Framework Selection: Comparing LangGraph, AutoGen, and Swarm
- Best Practices: Design principles, error handling, and monitoring
- Real-World Applications: Code generation, research assistance, customer service
4. Challenges and Solutions
- Scalability: Handling complex multi-agent interactions
- Reliability: Ensuring consistent performance across agents
- Observability: Monitoring and debugging multi-agent systems
Target Audience
This presentation is designed for:
- AI Engineers looking to implement multi-agent systems
- Software Architects designing complex AI applications
- Product Managers evaluating multi-agent solutions
- Researchers interested in multi-agent system patterns
Learning Outcomes
After this presentation, attendees will be able to:
- Distinguish between workflows and multi-agent systems
- Choose appropriate design patterns for their use cases
- Select the right framework for their implementation
- Apply best practices for building reliable multi-agent systems
- Understand common pitfalls and how to avoid them
Resources
- Slides: Available at redreamality.com/multi-agent-system-slides
- Code Examples: Practical implementations of discussed patterns
- Further Reading: Curated list of research papers and documentation
This presentation provides a comprehensive overview of multi-agent systems, bridging the gap between theoretical concepts and practical implementation.