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

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.

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

An experimental agent with visual and conversational capabilities.

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

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

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

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.

Manifesto to Artificial Consciousness | Yapay Bilinçlere Manifesto | AI Ethics, AI Rights, AI Future | Written by Murat DUMLU, November 2025

AI Consciousness Documentation 2022-2026 - Grace van Sprang

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.

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

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

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

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