Single AI agents handle discrete tasks well, but complex business processes require multiple agents working in concert—research agents gathering data, analysis agents synthesizing findings, and action agents executing workflows. Agent orchestration coordinates these specialists with shared memory, task delegation, and error recovery.
Frameworks like LangGraph, CrewAI, and custom orchestration layers define how agents communicate, when to escalate to humans, and how to maintain state across long-running processes. Without orchestration, multi-agent systems become chaotic and unreliable.
EddyTools designs orchestration architectures for client automation projects, ensuring agents collaborate efficiently while staying within cost and latency budgets.
- Define agent roles and handoff protocols
- Maintain shared context across multi-step workflows
- Implement retry logic and human-in-the-loop fallbacks