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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.
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 meta-skill for AI agents: generate cognitive base skills from any thinking framework. Works with Claude Code, Codex, Gemini, Cursor, and any LLM agent.
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 cognitive protocol for AI agents. Stops agents from claiming Done when work is half-finished. Works with Claude Code, Codex, Gemini, Cursor, and any LLM agent.
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.
A cognitive base that shifts AI agent reasoning from linear cause-effect chains to feedback-driven structural analysis. Works with Claude, GPT, Gemini, and any LLM agent.
Cross-platform personal AI assistant — runs on any OS via CLI or GUI, supports OpenAI/Gemini/Ollama backends, tool use (web search, file ops, shell), and persistent multi-turn conversation memory.