10 OpenClaw Lessons for Building Agent Teams

OpenClaw has now been in the wild for a little over a month, and builders are starting to converge on what actually works. The early experiments are revealing that agent systems can be incredibly powerful but require deliberate design choices around task separation, coordination, security, memory, and cost management. This episode breaks down ten practical lessons emerging from the first wave of OpenClaw users, from structuring agent teams and using simple file-based orchestration to treating agents as first-class employees and designing explicit memory systems.

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