Top OpenClaw Setup Mistakes That Make Good Agents Feel Broken Most OpenClaw failures do not start with the model. They start with setup mistakes that look small early on, then quietly poison the whole system. The painful part is that these mistakes o...
If your OpenClaw agent gives weak answers, misses context, rambles, or produces work that feels low-value, the problem is usually not just "write a better prompt." Serious operators hit this wall when the system underneath the agent is under-specifie...
OpenClaw Webhooks: Turn External Events into Agent Work Most automation stacks fall apart at the boundary between “something happened outside” and “my agent should do something useful now.” That handoff is where people start bolting on ad hoc scripts...
OpenClaw Cron vs Heartbeat: Pick the Right Automation Loop Most bad agent automation is self-inflicted. People turn every recurring check into a cron job, then wonder why their agent keeps talking, their main session fills with junk, and their token ...
OpenClaw Memory Search: Reliable Recall for Long-Running Agents Long-running agents fail in a very human way. They do not usually break because the model suddenly became dumb. They break because the useful fact from three days ago is no longer sittin...
If your agent cannot look outside its prompt window, it stays trapped in yesterday's context. That is fine for writing boilerplate. It is terrible for research, monitoring, and anything that depends on current information. OpenClaw solves that with t...