Module 5: Multi-Agent Collaboration
Team, Sequential, Parallel, Loop, Custom, Routing
6 posts
Module 5: Multi-Agent Collaboration
How do multiple Agents work together? From Team architecture to four workflow patterns (Sequential/Parallel/Loop/Custom) and dynamic routing strategies.
Articles
| # | Article | Case | Status |
|---|---|---|---|
| 1 | Agent Team Architecture | adk-go-team-intro | 🔄 In Progress |
| 2 | Sequential Workflow: Sequential Execution | adk-go-team-sequential | 🔄 In Progress |
| 3 | Parallel Workflow: Parallel Distribution | adk-go-team-parallel | 🔄 In Progress |
| 4 | Loop Workflow: Loop Execution | adk-go-team-loop | 🔄 In Progress |
| 5 | Custom Workflow: Custom Orchestration | adk-go-team-custom | 🔄 In Progress |
| 6 | Agent Routing: Dynamic Next Agent Selection | adk-go-team-routing | 🔄 In Progress |
Prerequisites
- Completed Module 4: Memory & Context
- Understand Session and State management
Learning Objectives
After completing this module, you will:
- Understand Agent Team architecture design
- Master four workflow patterns and their use cases
- Design custom workflow orchestration logic
- Implement dynamic routing and intelligent scheduling
Learning Path
Complete these six articles in order before proceeding to the “Streaming Interaction” module.
← Module 4: Memory & Context | Module 6: Streaming Interaction →
Agent Routing: Dynamic Selection of Next Agent
Detailed explanation of Agent routing mechanism in ADK Go—dynamically decide which Agent to use based on input content, implementing intelligent distribution.
Custom Workflow: Custom Workflow, Ultimate Solution for Complex Scenarios
Detailed explanation of ADK Go Custom Workflow—implement complex workflow orchestration through custom scheduling logic.
Loop Workflow: Loop Execution, Exit on Condition
Detailed explanation of ADK Go Loop workflow—Agent loops until exit condition is met, suitable for complex tasks requiring multiple iterations.
Parallel Workflow: Parallel Distribution, Multiplier Efficiency
Detailed explanation of ADK Go Parallel workflow—multiple Agents processing different tasks simultaneously, suitable for independent parallelizable tasks.
Sequential Workflow: Sequential Execution, Pipeline Processing
Detailed explanation of ADK Go Sequential workflow—input processed by series of Agents in sequence, implementing pipeline workflow.
Agent Team Architecture: How Multiple Agents Collaborate
Detailed explanation of Agent Team architecture in ADK Go, how to organize multiple Agents into a team for complex task collaboration.
