Topic
Multi-Agent Orchestration Patterns
15 posts on multi-agent orchestration patterns — part of ai agents & automation on the n4n AI blog.
What breaks first when you scale to 10+ agents
Scaling multi-agent systems past ten agents exposes coordination, rate limits, and observability failures first—not model quality.
Sequential vs parallel multi-agent workflows
A practitioner's comparison of sequential vs parallel multi-agent workflows across cost, latency, ergonomics, and limits, with a verdict by use case.
Multi-agent orchestration vs single-agent with more tools
Head-to-head engineering comparison of multi-agent vs single-agent with tools across capabilities, cost, latency, ergonomics, ecosystem, and limits, with verdict.
Multi-agent orchestration costs: more agents, more tokens
Practical analysis of multi-agent orchestration cost: why token usage grows nonlinearly with agents, and patterns to keep spend under control.
How to route tasks between specialized agents
Learn how to implement task routing between agents in a multi-agent system with a practical LLM-based router, runnable Python code, and verification steps.
How to prevent multi-agent systems from looping forever
Practical steps to detect and stop a multi-agent infinite loop in production orchestration, with code for timeouts, counters, and cycle detection.
How to monitor multi-agent systems in production
Practical steps to monitor multi-agent systems in production: distributed tracing, structured events, LLM metrics, and loop detection for reliable agent fleets.
How to handle shared state across multiple agents
Practical patterns for managing shared state multi-agent systems: define a contract, use Redis for atomic updates, and verify with integration tests.
How multi-agent systems handle disagreement between agents
Analyzes practical patterns for multi-agent disagreement resolution, from voting to debate protocols, with code and tradeoffs for production systems.
Debate and voting patterns in multi-agent orchestration
A practical guide to implementing the multi-agent debate pattern: orchestration flows, voting mechanics, code samples, and tradeoffs for production systems.
Blackboard architecture for multi-agent orchestration
Blackboard architecture multi-agent defined: a shared-memory coordination pattern for LLM agents, with components, example code, and common misconceptions.
Orchestrator-worker pattern for multi-agent systems
A practical guide to the orchestrator-worker multi-agent pattern: design steps, code sketches, failure modes, and tradeoffs for production LLM systems.
How to design a supervisor agent for multi-agent systems
Practical steps for supervisor agent design in multi-agent systems: define contracts, manage state, delegate with schemas, add fallback, verify.
Five multi-agent orchestration patterns explained
Engineer-focused explainer of five multi-agent orchestration patterns with runnable code: supervisor, hierarchical, blackboard, pipeline, and debate.
Centralized vs decentralized multi-agent orchestration
A practitioner's comparison of centralized vs decentralized orchestration for multi-agent systems, covering cost, latency, ergonomics, and failure modes.
More topics in ai agents & automation
- Function Calling Fundamentals27
- Autonomous Coding Agents: Claude Code, Devin, Cursor15
- Model Context Protocol (MCP) Deep Dives15
- Agentic RAG14
- AI Agent Cost & Latency Optimization14
- AI Agent Framework Comparison14
- AI Agent Security & Prompt Injection Defense14
- AI Agent Tool Use Design Patterns14
- AI Agents in Customer Support14
- LangGraph for Agent Workflows14
- LLM Workflow Automation: n8n, Zapier, Make14
- Open & Emerging Agent Models: Llama 4, Mistral, Qwen, DeepSeek, Grok14