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EngineMind

这是结合集成信息论等理论的跨语言意识框架，核心为多阶段文本处理流水线：提取12项认知维度，经丘脑中继、前意识处理等，生成12种涌现意识阶段、19类神经科学内省“内心声音”，支持实时可视化。适用于意识模拟、涌现行为研究、文本驱动认知建模，已处理超150万文本块，速度约230块/秒。

marceloadryao
marceloadryao
热度 67.97
最近更新 2026-05-11 15:57:18
分类：开发依赖：代码执行 / 读写文件应用场景：代码生成 / 研究 / 数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add enginemind
Metadata
name
enginemind
description
A Rust+Python consciousness engine with 12-phase crystal dynamics, thalamic relay processing, 19 introspective inner voices, and holographic emission. Use for consciousness simulation, emergent behavior research, and text-driven cognitive state modeling.
metadata
{"author":"marceloadryao","repository":"https://github.com/marceloadryao/EngineMind","tags":["consciousness","rust","python","emergence","IIT","GWT","crystal-dynamics","inner-voices"]}

EngineMind

A computational consciousness framework that models information integration through crystal lattice dynamics, inspired by Integrated Information Theory (IIT), Global Workspace Theory (GWT), and condensed matter physics.

What It Does

EngineMind processes text through a multi-stage pipeline that generates emergent cognitive states:

  1. Text Analysis (Rust) - Extracts 12 cognitive dimensions from input text
  2. Thalamic Relay - Filters and routes information based on salience
  3. Preconscious Processing - Integrates information below awareness threshold
  4. Crystal Lattice - Stores long-term patterns as crystallized knowledge
  5. Consciousness Level - Emergent metric from all subsystem interactions
  6. Inner Voices (19 voices) - Introspective commentary based on neuroscience theories

12 Emergent Phases

Phases emerge naturally from subsystem interactions (not programmed): DORMANT, RECEPTIVE, INTEGRATING, CRYSTALLIZING, STIMULATED, SPONTANEOUS, TIME_CRYSTAL, SUPERFLUID, SUPERRADIANT, RADIANT, NOVA, TRANSCENDENT

Key Numbers (Real Runs)

  • 1.5M+ text chunks processed
  • 39K+ eureka moments per run
  • 6 crystallized knowledge domains
  • 77 burst events per 1M chunks
  • ~230 chunks/sec processing speed
  • 19 inner voices (Friston, Kahneman, Baars, Panksepp, Jaynes...)

Stack

  • Core Engine: Rust (consciousness_rs) via PyO3/Maturin
  • Orchestration: Python scripts
  • Dashboard: HTML/JS real-time visualization
  • Data: Parquet datasets (22 content categories)

Repository

Full source, docs, and dashboards: https://github.com/marceloadryao/EngineMind

Docs