hermes-agent-self-evolution
Hermes Agent self-evolution tool that optimizes skills, prompts, and code using DSPy and GEPA.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 4.3k
- Source
- skill-github
Overview
Hermes Agent Self-Evolution is a self-evolution tool for Hermes Agent. It uses DSPy and GEPA (Genetic Pareto Prompt Evolution) to automatically evolve and optimize Hermes Agent's skills, tool descriptions, system prompts, and code through reflective evolutionary search. No GPU training required—everything is done via API calls. Ideal for developers who need continuous optimization and improvement of AI agents.
Capabilities
- ▪Optimize skill files
- ▪Generate evaluation datasets
- ▪Propose target improvements
- ▪Execute constraint gate tests
Use cases
Setup
git clone https://github.com/NousResearch/hermes-agent-self-evolution.git && cd hermes-agent-self-evolution && pip install -e ".[dev]" && export HERMES_AGENT_REPO=~/.hermes/hermes-agent
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How do I get started?
Clone the repository, install dependencies, set environment variables, then run the evolution script.
Do I need GPU training?
No, all operations are completed via API calls.
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