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Ralph Evolver

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

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版本1.0.6
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name: ralph-evolver description: Recursive self-improvement engine. Think from first principles, let insights emerge. tags: [meta, recursive, evolution, emergence, first-principles] version: 1.0.6

🧬 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:

  1. What is the essence of this project?
  2. What is it doing that it shouldn't?
  3. What is it missing that it should have?
  4. 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."

如何使用「Ralph Evolver」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Ralph Evolver」技能完成任务
  4. 结果即时呈现,支持继续对话优化

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