Topic
Multi-Agent Systems & Agent Orchestration
5 posts on multi-agent systems & agent orchestration — part of glossary on the n4n AI blog.
Multi-agent systems explained: how AI agents collaborate
A practitioner's guide to multi-agent AI systems — what they are, how agents coordinate, where they excel, and the traps that catch teams building them.
How AutoGen enables multi-agent conversations
A practical breakdown of AutoGen's multi-agent conversation framework, covering agent types, conversation patterns, and a working code example for engineers building agent systems.
CrewAI vs AutoGen vs LangGraph: a comparison
Technical comparison of CrewAI, AutoGen, and LangGraph for multi-agent orchestration — architecture, ergonomics, state, tooling, and when to use each.
Building a multi-agent research assistant
A hands-on tutorial for building a multi-agent research assistant with LangGraph, showing agent orchestration, tool use, and state management with runnable code.
Agent orchestration patterns: supervisor vs swarm
A precise comparison of supervisor and swarm agent orchestration patterns, with concrete examples and implementation trade-offs for engineers building multi-agent systems.
More topics in glossary
- Structured Outputs & JSON Mode19
- AI Agents Fundamentals12
- Hallucination in LLMs11
- Sampling Parameters: Top-p, Top-k & Penalties11
- Context Window & Context Length10
- Fine-Tuning Fundamentals9
- Foundation Models: Base vs Instruct vs Chat9
- Model Families & Naming Conventions: GPT-5, Claude, Gemini 3, Llama 4, Mistral, DeepSeek, Qwen, Grok9
- Grounding & Fact-Checking in AI8
- LLM Benchmarks: MMLU, HumanEval, SWE-bench & GPQA8
- Max Tokens, Stop Sequences & Output Truncation8
- Quantization Formats: GGUF, GPTQ, AWQ & INT4/INT88