hermes-agent-self-evolution

About hermes-agent-self-evolution

🧬 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.

Quick Facts

Stars	5,327
Forks	631
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

Compatible Skills

These tools work well together with hermes-agent-self-evolution for enhanced workflows:

claude-smart — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
hermes-dreaming — semantic(0.47)+complementary+same_lang+shared_platform (56%)
Xcode-Build-Optimization-Agent-Skill — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (55%)
skill — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)

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Frequently Asked Questions

What is hermes-agent-self-evolution?

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 5.3k GitHub stars.

What programming language is hermes-agent-self-evolution written in?

hermes-agent-self-evolution is primarily written in Python.

How do I install or use hermes-agent-self-evolution?

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 5.3k stars and 631 forks, indicating an active community.

View on GitHub → Browse Codex Skill tools