Stop Guessing with AI: How “Loops” Turn Agents into Reliable Workers Earlier this year, I asked an AI assistant to clean up a code repository that hadn’t been touched in five years. On the first pass, it gave me a list of scripts flagged as “safe to delete” and “needs review.” I asked it to dig deeper. It re-categorized everything. By the third round, it suggested a three-month sunset plan. None of the outputs were bad, but none of them matched each other, either—and no one could tell me which version counted as “done.” It took me a while to …
Mastering Hermes Agent: From Intermediate to Advanced Optimization Why Your Hermes Always Seems to Have Amnesia? Many users find Hermes frustratingly forgetful, but this isn’t a bug—it’s a feature. Hermes employs an agent-curated memory system that prioritizes efficiency over comprehensive logging. Let’s break down the underlying logic and practical solutions to harness its full potential. 🧠 The Brain Behind Hermes’ Memory System Dynamic Filtering Hermes selectively retains critical information (e.g., user preferences, environment facts) while discarding transient thoughts or trial errors. Example: If you say, “Always use Python 3.11,” it gets tagged for long-term storage, while casual comments like “I …