5 Must Know TIPS for OpenClaw

Summary

If you have OpenClaw up and running but keep running into frustrating issues, this video gives you five practical fixes that the official documentation glosses over. First, and most critically, you need to make sure memory is actually working. OpenClaw relies on OpenAI embeddings to retain information between sessions — without this, your agent wakes up every day with zero context about your projects, passwords, or tasks. You should directly ask your agent whether it is using OpenAI embeddings and test it to confirm. Second, use multiple threads or chats for different tasks. This keeps your agent focused and your workflow organized. As a bonus, you can ask your agent to build a monitoring dashboard so you can see exactly what it is tracking and doing at any given time. Third, know how to revive a dead agent. If your agent stops responding — often because it corrupted its own settings file — navigate into the OpenClaw directory on your server and run Claude directly from that folder. You can then ask Claude to read the folder, diagnose the error, and fix it. This approach is far more effective than using the built-in help menus. Fourth, understand and manage heartbeats. By default, OpenClaw pings your AI model every 30 minutes to stay active. This is useful for time-sensitive tasks, but it adds up in cost. You can instruct your agent to change the heartbeat interval — for example, to every hour — to reduce unnecessary API spending. Fifth, solve the password-forgetting problem by directing your agent to store all API keys and secrets in a .env file. Agents tend to delete sensitive information stored in notes because they treat it as insecure. A .env file follows standard coding conventions, keeps credentials out of version control, and your agent will treat it as a safe place to store sensitive data. Fixing the memory embeddings issue will have the biggest impact on your day-to-day experience.