self-evolving-agent
OfficialSelf-evolving AI agents.
Authorplurigrid
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Darwin Gödel Machine patterns enable self-improving AI agents that autonomously evolve capabilities, memory, and tools through interaction and feedback, supporting lifelong learning and open-ended optimization.
Core Features & Use Cases
- Darwin Gödel Machine architecture: archive, sampler, mutator, evaluator, validator
- Open-ended evolution: mutate agent code and re-evaluate fitness
- Long-term memory: retain successful policies and exploit past discoveries
- Co-evolution: multi-agent interaction and knowledge sharing
Quick Start
Sample an agent from the archive, mutate its code using an LLM-based mutator, evaluate fitness, and prune the archive to maintain diversity.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: self-evolving-agent Download link: https://github.com/plurigrid/asi/archive/main.zip#self-evolving-agent Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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