Ralph Evolver

Recursive self-improvement engine. Think from first principles, let insights emerge.

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Last updated: April 23, 2026

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Quick Start

Manual Installation

No automatic installation available. Please visit the source repository for installation instructions.

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🧬 Ralph-Evolver

Philosophy: Recursion + Emergence + First Principles

Signal Sources

Collects multi-dimensional context, not just code structure:

Commit history - Understand the "why" behind changes
TODO/FIXME - Distress signals in the code
Error handling patterns - Find fragile points
Hotspot files - Frequent changes = design problems

Each signal includes a hypothesis prompt to guide deeper analysis.

First Principles

Each run doesn't execute a checklist, but asks:

What is the essence of this project?
What is it doing that it shouldn't?
What is it missing that it should have?
If you started from scratch, how would you build it?

Meta-Reflection (v1.0.5)

When analyzing itself, evolver asks:

Is this a surface fix or evolution-level improvement?
What pattern exists in improvement history?
Will this change make evolver better at finding problems?

Improvement Tracking

Records description, insight, level (surface/evolution), and health metrics
Pattern analysis: counts surface/evolution ratio, finds recurring themes
Compares before/after effect trends (improved/degraded/unchanged)

Usage

node index.js .                    # Current directory (positional)
node index.js /path/to/app         # Specify path
node index.js . --loop 5           # Run 5 cycles
node index.js --task "fix auth"    # Specific task
node index.js --reset              # Reset iteration state

Recursion

The improver can improve itself. This is true recursion.

"Form hypotheses, then verify. Think from first principles."

Ralph Evolver

AI Skill Market Insights

Quick Start

Manual Installation

TEAR & SHARE

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Multi-Agent Patterns

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🧬 Ralph-Evolver

Signal Sources

First Principles

Meta-Reflection (v1.0.5)

Improvement Tracking

Usage

Recursion

Memory Systems Design

Context Degradation Detection

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