a-evolve

What problem does it solve?

This Skill solves the problem of manually optimizing AI agents across various domains, offering a platform to automatically evolve and optimize agents using LLM-driven algorithms.

Core Features & Use Cases

• LLM-Driven Evolution: Uses LLMs to mutate workspace files for improved agent performance.
• Benchmark Evaluation: Provides tools for automated agent evaluation loops against benchmarks.
• Agent Optimization: Optimizes agent prompts, skills, or memory against a measurable benchmark.
• Use Case: When you have a working agent and want to optimize it against a benchmark, or when you need to evolve agents on your own domain-specific tasks.

Quick Start

Install the skill and run the following commands:

pip install a-evolve
python a-evolve.py