Hermes Agent Self-Evolution

Skill by ara.so — Hermes Skills collection.

Hermes Agent Self-Evolution provides evolutionary self-improvement for Hermes Agent using DSPy + GEPA (Genetic-Pareto Prompt Evolution). It automatically evolves and optimizes skills, tool descriptions, system prompts, and code through reflective evolutionary search—no GPU training required, everything operates via API calls.

What It Does

• Skill Evolution: Optimizes SKILL.md files using execution traces and targeted mutations
• Prompt Optimization: Improves system prompts and tool descriptions through evolutionary search
• Code Evolution: Plans to support code-level optimization via Darwinian Evolver
• Trace-Based Learning: Analyzes why things fail, not just that they failed
• Cost-Effective: ~$2-10 per optimization run using LLM APIs

Installation