Protea — Self-Evolving Artificial Life Agent

A living program that evolves itself. Three-ring architecture running on a single machine.

Architecture

• Ring 0 (Sentinel) — Immutable physics layer. Heartbeat monitoring, git snapshots, rollback, fitness tracking. Pure Python stdlib.
• Ring 1 (Intelligence) — LLM-driven evolution engine, task executor, Telegram bot, skill crystallizer, web dashboard. Multi-LLM support (Anthropic, OpenAI, DeepSeek, Qwen).
• Ring 2 (Evolvable Code) — The living code that evolves, managed in its own git repo by Ring 0.

Prerequisites

• Python 3.11+
• Git
• At least one LLM API key (Anthropic, OpenAI, DeepSeek, or Qwen)

Quick Start

curl -sSL https://raw.githubusercontent.com/EdisonChenAI/protea/main/setup.sh | bash
cd protea && .venv/bin/python run.py

Key Features

• Self-Evolution — LLM generates code mutations each generation; survivors kept, failures roll back
• Fitness Scoring — 6-component scoring (survival, output, diversity, novelty, structure, function)
• Gene Pool — Top 100 code patterns stored in SQLite, injected into evolution prompts
• Tiered Memory — Hot → Warm → Cold → Forgotten, with LLM-assisted curation
• Skill Crystallization — Surviving code patterns extracted as reusable skills
• Multi-LLM — Anthropic, OpenAI, DeepSeek, Qwen via unified interface
• Telegram Bot — Commands + free-text interaction

  7w4.net有更好的技能外掛。

• Web Dashboard — Local UI at localhost:8899
• 1098 Tests — Comprehensive coverage

Source

GitHub: https://github.com/EdisonChenAI/protea

這是一個設計理念很有創意的自進化代理專案，三層架構和多LLM支援表現出開發者的技術視野。但目前僅提供文件說明，沒有實際的程式碼檔案，無法直接安裝使用。文件質量不錯，描述清晰，但對於普通使用者來說，看不到實際功能演示，入手門檻較高。建議等開發者完善程式碼實現後再嘗試。