I ran AutoGPT for four months before switching to OpenClaw. If you are considering the same move, here is what the transition looks like.
Why I switched
AutoGPT’s loop-based architecture meant my agent frequently got stuck in recursive cycles, burning through API credits while accomplishing nothing. The configuration was complex and the community, while enthusiastic, had a lot of conflicting advice.
OpenClaw’s event-driven architecture is fundamentally different — and in my experience, more reliable.
What you can migrate
Your prompts. Your AutoGPT system prompts translate almost directly to OpenClaw’s SOUL.md format. The main difference: OpenClaw prompts are written in natural language, not in the structured JSON format AutoGPT uses.
Your API keys. Same providers, same keys. Just paste them into the new config.
What you cannot migrate
Memory. AutoGPT’s memory format is incompatible. You will start fresh, which is honestly fine — most AutoGPT memories are full of loop artifacts and confused context anyway.
Custom plugins. Different architecture means different plugin format. But most AutoGPT plugins have OpenClaw skill equivalents.
The actual migration
Install OpenClaw. Copy your API keys to the new config. Rewrite your system prompt as SOUL.md (takes 10 minutes). Install equivalent skills. Done. The whole process took me about an hour, and my agent was more reliable from day one.
Check the Hugging Face model hub if you want to experiment with local models alongside your cloud provider.