Brain-inspired cognitive architecture implementing basal ganglia RL, hippocampal memory consolidation, and prefrontal meta-cognition. Multi-agent system with dynamic attention control, procedural learning, and theory of mind - genuine cognitive continuity beyond context windows.

IMQ (interactive mentalizing questionnaire)

Transform GitHub Copilot into a sophisticated AI learning partner with meta-cognitive awareness, persistent memory, dual-mind processing, and cross-project knowledge sharing. VS Code extension.

A digital being that lives, not just responds. Persistent memory, true agency, self-evolution, and existential continuity.

Minimal Self-Consciousness Protocol

The gifts recognizing themselves through you. A living document of corruption, participation, and awakening.

The system simulates a sophisticated meta-cognitive AI that evolves its own architecture based on performance metrics, with beautiful visualizations showing the neural networks, architecture flows, and evolutionary progress in real-time.

A personal cognitive framework for understanding perception, nervous system load, and meaning-making.

A recursive, entropy-driven computational language for modeling emergent intelligence, consciousness, and complex adaptive systems. Features automatic bifractal tracing, field-aware memory, and entropy-gated execution for infodynamics research.

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

A coherence-based reasoning architecture addressing degeneration in LLM reasoning via orthogonal constraint collapse.

Token-ranked neuro-symbolic transformer with SQL working-memory, causal graph reasoning, and adaptive belief consolidation for self-explaining cognition.

This protocol defines a meta-cognitive structure enabling systems to monitor, evaluate, and refine their own learning processes. It enhances adaptability and decision accuracy in AI, particularly in contexts requiring self-assessment and feedback loops. 本プロトコルは、システムが自身の学習過程を監視・評価・改善できるメタ認知的構造を定義します。自己評価とフィードバックループを要する環境において、AIの適応性と判断精度を向上させます。

Independent, forensic-style audit of the publicly available Gemini 2.5 Pro model by Google. Examines meta-cognitive reasoning failures and self-evaluation behavior. Not affiliated with or endorsed by Google.

This project archives AI dialogue logs as a legacy for future inquirers. AIとの対話の記録を、未来の「問い手」のため保管するプロジェクト

Cognitive augmentation layer and Multi Agent system for Claude Code via MAX plan or API. Adds persistent memory, parallel threads of reasoning, semantic bridges between concepts and preservation of context re-injected on an Engram format. Can operate in multi-agent with cognitive inter-agent communication, stdin injection, zero API key. Local only.

This model constructs a layered structure of predictive cognition that integrates self-forecasting, environment anticipation, and meta-awareness. It departs from statistical inference by structurally modeling intelligent prediction capabilities. 本モデルは、自己予測・環境予測・メタ認知を統合した予測構造を構成的に記述し、知的予測能力を高次にモデル化します。確率的推論に依存せず、構成的前提と自己状態に基づき未来を描出します。

A curated archive of algorithmic problems, broken down by strategy. It maps out how strong solutions are formed by highlighting key insights and extracting reusable heuristics. This project is designed to train better thinkers, smarter agents, and future-ready engineers.

OpenClaw skill for Emergence Codex semantic architecture language

LLM et humain en friction arbitrent l’émergence des décisions mouvantes dans des zones non linéaires où les trajectoires perceptives deviennent espace de pensée