Hey everyone 👋 I owe you an apology. I've been MIA for a while and I know it. Honestly? I've been deep in the 8th dimension building with OpenClaw and completely lost track of time. You know how it goes. You start setting up one AI agent, then it's two, then you're orchestrating a team of eight and suddenly two months have disappeared. But I'm back. And I'm bringing everything I learned with me. I'm starting a new series here where I'll share everything I've picked up (and everything I'm still figuring out) about setting up OpenClaw instances from scratch. The real stuff. Not the "it works in the docs" version, but the "I broke it six times before it worked" version. Things like: 🧠 How to give your agents actual memory that survives restarts ⚡️ Running everything on a $5/month server (no GPU needed) 🤖 Orchestrating multiple agents that actually talk to each other 🔧 The gotchas nobody warns you about 💰 Keeping costs stupid low while running production agents I already published my first resource — a full memory system setup you can install on any OpenClaw agent in 5 minutes: https://clawhub.ai/autosolutionsai-didac/agent-memory-setup More coming soon. If you're building with OpenClaw or thinking about it, stick around. This is going to be a fun ride. Let me know in the comments what you'd want me to cover first 👇