Can this skill be used for multi-agent systems?

Yes, it includes patterns for Multi-Agent Evolution, allowing different populations of agents to interact, share knowledge, and co-evolve simultaneously.

What kind of agent mutations can it perform?

It supports LLM-based mutations including code refactoring, error handling improvements, edge case additions, and efficiency optimizations.

What is a Darwin Gödel Machine (DGM)?

A DGM is a framework for self-improving AI that utilizes an archive of agents, a mutator (usually an LLM), and an evaluator to iteratively evolve and refine code logic.

How does this skill support lifelong learning?

It provides a LongTermMemory class that uses embedding-based retrieval to store and surface past experiences, allowing agents to learn from historical tasks.

Self-Evolving AI Agents

Name: Self-Evolving AI Agents
Author: plurigrid

byplurigrid

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数据科学与机器学习

Implements Darwin Gödel Machine patterns to enable autonomous, self-improving AI agent architectures through open-ended evolution and lifelong learning.

This skill provides a comprehensive framework for building AI agents that can iteratively improve their own code and capabilities. By utilizing Darwin Gödel Machine (DGM) patterns, it allows agents to sample, mutate, and evaluate their own logic against performance benchmarks. It features long-term memory architectures for continual learning and multi-agent co-evolution patterns, making it an essential tool for developers and researchers building sophisticated autonomous systems that need to adapt to complex tasks without manual intervention.

主要功能

01LLM-based code mutation loops with automated fitness evaluation

02Archive management system to maintain agent diversity and performance

038 GitHub stars

04Multi-agent co-evolution for cross-population knowledge sharing

05Long-term memory (LTM) integration for lifelong learning and retrieval

06Darwin Gödel Machine (DGM) architecture for recursive self-improvement

使用场景

01Developing autonomous agents that utilize past experiences to solve novel, complex tasks

02Building a self-improving coding agent that optimizes its own logic based on test results

03Creating multi-agent populations that co-evolve specialized capabilities for diverse environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi self-evolving-agent

For use in Claude.ai and ChatGPT

Download Skill