Very nice & inspiring, "no-gradient architecture" for high-level skills/learning. LLM here is the "prefrontal cortex" orchestrating the lower-level mineflayer API via code generation++. Meta-comment is that I remember how hopeless it felt to work on agents in environments like Minecraft around ~2016, feeling stuck on how RL at the time would ever randomly explore their way into performing long-horizon tasks from super sparse rewards. This block has now to a very large extent been lifted - the correct thing was to forget all that, first train LLMs that learn (1) world knowledge, (2) reasoning and (3) tool-use (esp writing code) all from internet text, then point them back at the problem in this kind of a way. TLDR If I had read about this "no-gradient" approach to agents in 2016 my mind would certainly be blown. Also haha @ source code in the voyager/prompts/*.txt directory :D