Mar 5
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Most OpenClaw users are making a common error by using a single agent for various tasks, leading to context loss. This video demonstrates how to implement effective multi agent systems within OpenClaw, ensuring better performance and specialized functions. Learn two distinct methods for openclaw setup to optimize your ai agents and prevent inefficiency. #openclaw #clawdbot #ai Here's what you'll learn: š¹ Why single-agent setups break down (context overload, prompt pollution, zero parallelism) š¹ Method 1 ā The Route Method: How to create specialized sub-agents inside the same project using agents.md and sub-folders š¹ Method 2 ā The Terminal Method: How to spin up fully isolated agent workspaces with openclaw agents add š¹ When to use each method (and why most advanced setups use both)Start with the Route Method for 2-3 sub-agents, then graduate to the Terminal Method when you need true isolation.This is how you go from one overloaded agent to a team of specialists ā each with its own prompt, tools, and focus. š Join the Openclaw Labs Skool community for more strategies: https://www.skool.com/titan-9535 š Get the step-by-step guide for a multi-ageint setup: https://openclaw-multi-agent-systems-guide.vercel.app Timestamps: 00:00 - What most people do wrong with Openclaw 00:29 - Why using multiple agents is a better system 02:00 - Two ways to build multi-agent systems in Openclaw 02:24 - Option 1: The route method 04:50 - Option 2: The terminal method 06:40 - Which method should you pick 07:00 - Next steps #openclaw #aiagents #multiagent #aiautomation #agentic #productivity