LeonardSEO

Wikievolve — AI skill for Claude Code

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Karpathy-inspired LLM wiki and Google WikiSkill implementation for grounded agent memory, persistent knowledge and evaluation-gated self-improving Agent Skills.

How to install Wikievolve

This entry records only its repository, not the path inside it, so there is no exact command to give. Open LeonardSEO/wikievolve and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Wikievolve does

Karpathy-inspired LLM wiki and Google WikiSkill implementation for grounded agent memory, persistent knowledge and evaluation-gated self-improving Agent Skills.

Alternatives in AI

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  • Llmwiki — Open Source Implementation of Karpathy's LLM Wiki 1.5k ★
  • LLM Wiki Skill — 基于 Karpathy llm-wiki 方法论的个人知识库构建 Skill,支持多平台 1.1k ★

README

WikiEvolve

**The missing knowledge layer for self-improving AI agents.**

[![CI](https://github.com/LeonardSEO/wikievolve/actions/workflows/ci.yml/badge.svg)](https://github.com/LeonardSEO/wikievolve/actions/workflows/ci.yml) [![MIT License](https://img.shields.io/github/license/LeonardSEO/wikievolve)](LICENSE) [![Node.js 20+](https://img.shields.io/badge/Node.js-20%2B-339933?logo=node.js&logoColor=white)](https://nodejs.org/) [![Agent Skills](https://img.shields.io/badge/Agent%20Skills-compatible-315C4C)](https://agentskills.io/)

WikiEvolve is a local-first memory and skill-evolution system for AI coding agents. It turns raw evidence into a grounded knowledge wiki, then uses execution traces to propose, evaluate, and safely roll back improvements to Agent Skills.

**Grounded memory. Measured learning. Reversible change.**

[Install](#install-as-agent-skills) · [Quick start](#five-minute-knowledge-wiki) · [How it works](#why-two-skills) · [Security](docs/security.md) · [Research foundations](#research-foundations)

WikiEvolve combines two independently installable skills:

  • Knowledge Wiki turns documents, notes, research, and conversations into a compact Markdown wiki with immutable evidence and verifiable provenance.
  • Evolve Agent Skills turns repeated successes and failures into one atomic skill proposal, evaluates it against a baseline, and restores the baseline when it does not improve.

Everything is local and inspectable. The CLIs use only the Node.js standard library. There is no hosted service, model lock-in, shell installer, postinstall hook, or hidden network request.

What makes WikiEvolve different?

Capability Notes or prompt memory Uncontrolled self-editing WikiEvolve
Raw evidence with SHA-256 provenance Rarely Sometimes Yes
Durable, source-grounded wiki Partial Partial Yes
Learns from successes and failures No Yes Yes
One atomic change per evaluation No Rarely Yes