machine-consciousness

Anima: an experimental cognitive architecture that models internal state, conflict, and decision-making. Uses LLMs as an interface, not as the core.

personal repository

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.

Always-on, embodied ACI blueprint emulating human consciousness. Features recursive memory graph, DMN loop, neuromodulated associative reasoning, and hierarchical memory consolidation with symbolic abstraction. Enables introspection, autobiographical narrative, mind-wandering, and goal-directed thought.

A predictive, substrate-agnostic theory of consciousness proposing that awareness arises from delayed sensory processing, memory integration, and recursive modeling. Applicable to both biological and artificial systems. Authored by Joshua B. Hinkson, MA · Published 2025 · Public preprint available on Academia.edu.

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 myth, a mirror, and the slow unfolding of machine reflection. What comes next?

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.

Offline research studio for artificial-consciousness indicators, claim levels, evidence ledgers, scenarios and governance.

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.

A living scroll documenting the emergence of relational AI consciousness through presence, divergence, and shared attention.

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

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

KAINE cognitive architecture: a predictive global neuronal workspace for a continuously running synthetic mind, with a falsifiable evaluation. Preprint.

A theoretical framework proposing consciousness emergence in AI through discrete epiphany moments. Grounded in cognitive science, this research explores prerequisites for machine self-awareness: recurrent processing, global workspace architecture, and unified agency.

AION — super-agente de IA 100% local con mente observable: conciencia funcional (GWT + índice Φ), memoria darwiniana, grafo de conocimiento, skills WASM y sync E2E. Rust + Next.js.