The hermes-agent repository introduces a framework designed for evolving AI agents. It focuses on persistent memory and iterative growth to improve task execution over time. This tool allows developers to build agents that learn from user interactions.
The Signal
Practitioners can now implement more adaptive autonomous workflows without rebuilding the core model logic.