HyperAgents Self-Improving AI Skill

Skill by ara.so — AI Agent Skills collection.

Overview

HyperAgents is a framework for building self-referential self-improving AI agents that can optimize for any computable task. The system uses a meta-agent to iteratively improve a task-agent by generating and evaluating code modifications. The framework supports multiple domains (code generation, reasoning, math, etc.) and uses foundation models to drive the self-improvement loop.

Key Capabilities:

• Self-referential meta-learning where agents modify their own code
• Multi-domain support (code, math, reasoning tasks)
• Iterative improvement through generation-evaluation loops
• Integration with OpenAI, Anthropic, and Google Gemini models
• Docker-based safe execution environment

Installation

Prerequisites