by NousResearch · Codex Skill · ★ 5.4k
🧬 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.
| Stars | 5,379 |
| Forks | 637 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 65.3343351961741/100 |
| Open Issues | 123 |
| Last Updated | 2026-06-17 |
| Created | 2026-03-09 |
| Platforms | python |
| Est. Tokens | ~3k |
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hermes-agent-self-evolution is ⚒ Evolutionary self-improvement for Hermes Agent — optimize skills, prompts, and code using DSPy + GEPA. It is categorized as a Codex Skill with 5.4k GitHub stars.
hermes-agent-self-evolution is primarily written in Python.
You can find installation instructions and usage details in the hermes-agent-self-evolution GitHub repository at github.com/NousResearch/hermes-agent-self-evolution. The project has 5.4k stars and 637 forks, indicating an active community.