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Wikievolve

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Description

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

Installation

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

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