Agent Orchestration: Designing Multi-Agent Systems That Actually Work

Most multi-agent systems fail for one reason:

• no orchestration layer

Problem

Developers build:

1. multiple agents
2. multiple APIs
3. multiple workflows

But no coordination logic.

Solution: Agent Orchestration Layer

Core responsibilities:

• task routing
• dependency management
• agent communication
• memory handling

Architecture
Task → Orchestrator → Agents → Output

Example
User request
→ classify intent
→ call data agent
→ call LLM agent
→ validate output
→ return response

Key takeaway

Multi-agent ≠ system

👉 Orchestrated agents = system

Learn more
https://brainpath.io/blog/single-agent-vs-multi-agent
https://brainpath.io/blog/ai-native-company
https://brainpath.io/agents