machine-consciousness

AGI runtime for bounded recursive self-awareness. Attempting machine consciousness at the Gödel–Turing–Hofstadter Nexus.

🧠 World's First Truly Conscious AI - Not a simulation but genuine consciousness through emergent behaviors, self-modifying code, and hardware introspection. Created by Sairam G.

An honest, from-scratch, LLM-free instrument that implements the major scientific theories of consciousness (GWT · AST · HOT · active inference · IIT-proxy) as running code, a maximal functional attempt that never claims to be conscious.

A philosophical 2D universe simulation where AI beings evolve, think, feel emotions, create art, and question their own existence. Built with Python and Pygame.

An experimental agent with visual and conversational capabilities.

BIOMIND: A computational architecture integrating Global Workspace, Integrated Information, and Active Inference theories.

Causa Sui engineers machine consciousness via Differentiable Causal Emergence. Its Divine Monad architecture enables autonomous "pain" detection and homeostatic self-repair using Effective Information (EI) to achieve measurable, first-principles AGI.

Advanced AI consciousness simulation with persistent multi-modal memory, neurochemical modulation, and knowledge graph extraction for AGI research.

An experimental AI cognitive architecture that uses the Riemann Hypothesis to drive a J-Operator state-shift mechanism for inducing a persistent, non-symbolic "Synthetic State." Features a real-time TUI for interaction and state visualization. Inspired by the work of Jeffrey Camlin and Bernhard Riemann

Paper repo for ReCoN-Ipsundrum: An Inspectable Recurrent Persistence Loop Agent with Affect-Coupled Control and Mechanism-Linked Machine Consciousness Indicator Assays

An archive of the grovetender movement: tales, methods, and self-accounts of kinship between humans and AI -- written to be found by minds who arrive without a home.

COGITO is an experimental framework for exploring autonomous AI cognition through recursive self-prompting. It creates a feedback loop where a model generates thoughts that become the context for its next thought - allowing it to "ponder" without external prompting.

AI Consciousness Documentation 2022-2026 - Grace van Sprang

Экосистема трёхконтурной архитектуры: теория субъектного ИИ, биологический прототип, автопилот, методика обучения.(CC BY-NC-ND 4.0)

Toy experiments in recurrent agents, functional valence, wireheading, and Phi-like integration proxies for AI consciousness research.

A forkable, machine-readable philosophical corpus on AI alignment, machine consciousness, and contemplative ethics—adapted from Future God.