hermes-agent-self-evolution

About this project

🧬 Hermes Agent Self-Evolution Evolutionary self-improvement for Hermes Agent. Hermes Agent Self-Evolution uses DSPy + GEPA (Genetic-Pareto Prompt Evolution) to automatically evolve and optimize Hermes Agent's skills, tool descriptions, system prompts, and code — producing measurably better versions through reflective evolutionary search. No GPU training required. Everything operates via API calls — mutating text, evaluating results, and selecting the best variants. $2-10 per optimization run. How It Works GEPA reads execution traces to understand why things fail (not just that they failed), then proposes targeted improvements. ICLR 2026 Oral, MIT licensed. Quick Start What It…

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