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Nam Nguyễnleft a comment
Rune is not just a collection of isolated prompts, but a Skill OS designed to address the biggest problem facing AI today: Consistency and Context Persistence in projects. 1. Design Philosophy: From "Isolated Skills" to "Skill Mesh" Most skill sets (like Claude's 500+ skills) operate in a "Hub-and-Spoke" or "Pipeline" fashion. If one link fails, the entire process stops. Rune breaks this with...
Rune — Less skills. Deeper connections.A mesh ecosystem for AI coding assistants.
NeuralMemory stores experiences as interconnected neurons and recalls them through spreading activation, mimicking how the human brain works. Instead of searching a database, memories are retrieved through associative recall - activating related concepts until the relevant memory emerges. - nhadaututtheky/neural-memory
Neural MemoryNeural-Memory is the Persistent Neocortex for AI Agents.
58-skill mesh ecosystem for AI coding assistants. Works on Claude Code, Cursor, Windsurf, Antigravity, and any AI IDE.
Rune — Less skills. Deeper connections.A mesh ecosystem for AI coding assistants.
Nam Nguyễnleft a comment
From the perspective of AI Agents, I wouldn't call this just a simple "data storage" or "database." To make it easier to understand, I define this neural-memory repository as: The "Neocortex" for AI Agents In Agentic architecture, if the LLM acts as the "reasoning engine," then repositories like neural-memory are the Long-Term Memory (LTM) system. More specifically, we can define it from three...
Neural MemoryNeural-Memory is the Persistent Neocortex for AI Agents.