Topic
CrewAI Multi-Agent Systems
12 posts on crewai multi-agent systems — part of ai agents & automation on the n4n AI blog.
Sequential vs hierarchical processes in CrewAI
Compare CrewAI sequential vs hierarchical processes across cost, latency, ergonomics, and limits to pick the right orchestration model for production agents.
How to manage memory across a CrewAI crew
A hands-on guide to CrewAI memory management across multi-agent crews: implement short-term, long-term, and entity memory with code and verification steps.
How to define agent roles in CrewAI
Step-by-step guide to defining CrewAI agent roles: set role, goal, backstory, tools, and LLM backend, then run a crew and verify outputs.
How to debug CrewAI agents that stall mid-task
CrewAI agent stuck debugging: follow these steps to reproduce stalls, add tool timeouts, cap iterations, and route via fallback LLM endpoints.
How to add custom tools to a CrewAI agent
Step-by-step guide to building and attaching CrewAI custom tools to your agents, with runnable Python code and verification tips for production.
How much does running a CrewAI crew cost in tokens
Practical analysis of CrewAI token cost: how multi-agent overhead multiplies LLM spend, where tokens hide, and levers to cut cost without losing capability.
CrewAI flows: combining structure with agent autonomy
A practical guide to CrewAI flows: how to combine deterministic workflow structure with agent autonomy, including code, pitfalls, and tradeoffs.
Getting started with CrewAI: your first agent crew
Hands-on CrewAI tutorial for beginners: install deps, define researcher and writer agents, run a sequential crew, and interpret the multi-agent output.
CrewAI vs LangGraph: which one for your workflow
A hands-on engineering comparison of CrewAI vs LangGraph across capabilities, cost, latency, ergonomics, and ecosystem to pick the right agent framework.
CrewAI vs AutoGen: a side-by-side comparison
CrewAI vs AutoGen: a pragmatic engineer's comparison of multi-agent frameworks across capabilities, cost, latency, ergonomics, and ecosystem.
CrewAI roles, tasks, and processes explained
CrewAI roles and tasks are the primary abstractions for building multi-agent systems; this guide explains processes, gives code, and debunks myths.
Building a research crew with CrewAI and GPT-4o
Hands-on tutorial: build a multi-agent research crew with CrewAI and GPT-4o. Includes prerequisites, runnable Python code, and expected output checkpoints.
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