The Self-Evolving Agent: Hermes' Semantic Garbage Collection for AI Memory

Memory bloat poses a critical challenge for long-running AI agents, causing retrieval latency spikes and token cost inflation. Hermes addresses this through semantic-aware garbage collection, automatically consolidating redundant skills and transforming cluttered episodic memories into clean, structured knowledge. This breakthrough enables self-optimizing agents that maintain peak performance and cost efficiency at enterprise scale.