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Introduces Cognifold, a brain-inspired always-on proactive memory for LLM agents that continuously organizes fragmented event streams into self-emerging cognitive structures via graph-topology self-organization, extending Complementary Learning Systems theory with a prefrontal intent layer.
The author shares a locally runnable AI companion built with Python, Gemini, and Ollama, featuring a custom cognitive architecture based on Global Workspace Theory and an Integrated Information Theory proxy for personality modeling.
Anthropic has introduced a new 'sleep' mechanism for AI agents inspired by biological hippocampal replay and dreaming to extract patterns and reorganize memories, aiming to prevent capability plateaus associated with raw context window reliance.
Developer created Engram, an open-source cognitive architecture featuring a functional interoceptive system for AI agents that implements real-time stress detection and adaptive behavioral modulation for self-correction, then explored whether the agent can report experiencing anxiety.
A comprehensive survey on foundation agents, proposing a modular brain-inspired architecture and covering self-enhancement mechanisms, multi-agent collaboration, and AI safety.