“multi-agent-systems”
Routing Tasks Across a Fleet of Worker Agents
Learn how to efficiently route tasks across multiple worker agents using LangGraph, parallel execution patterns, and intelligent load balancing.
Avoiding Circular Delegation: Deadlocks in Multi-Agent Handoffs
Learn how to prevent circular delegation and deadlocks in multi-agent systems using hop counts, cycle detection, and proper termination conditions.
Handling Partial Success: Degraded Mode in Multi-Agent Orchestration
Learn how to design resilient multi-agent systems that gracefully handle partial failures and operate in degraded modes when components fail.
Handoff Design: Passing State and Control Between Agents
A deep dive into multi-agent handoff patterns, state passing, and control flow design principles — with practical examples from the OpenAI Agents SDK.
Multi-Agent and Role-Based Work: When One Agent Isn't Enough
Learn when and how to scale from single agent to multi-agent systems with role-based development, structured handoffs, and adversarial review.
Sequential & Parallel Agent Pipelines in Google ADK
Master multi-agent orchestration primitives in Google ADK using SequentialAgent for ordered pipelines and ParallelAgent for concurrent execution.
Choosing the Right Multi-Agent Pattern: Balancing Complexity and Cost
Explore the primary multi-agent patterns—from single agents to sophisticated coordinators—and learn how to choose the right one for your AI project based on task complexity and budget.