Agent Orchestration: Designing Multi-Agent Systems That Actually Work

Most multi-agent systems fail for one reason: no orchestration layer Problem Developers build: multiple agents multiple APIs 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