Proactive AI

In a field where many agents act like well-trained dogs, obediently waiting for commands, Galaxy offers something more radical: a system that watches, thinks, adapts, and evolves—without needing to be told. It’s not just an intelligent personal assistant (IPA); it’s an architecture that redefines what intelligence means for LLM-based agents. Let’s dive into why Galaxy is a leap beyond chatty interfaces and into cognition-driven autonomy. 🌳 Beyond Pipelines: The Cognition Forest At the heart of Galaxy lies the Cognition Forest, a structured semantic space that fuses cognitive modeling and system design. Each subtree represents a facet of agent understanding: ...

Introduction: From Reaction to Proaction Imagine an assistant that doesn’t wait for your command. It notices you’re standing by a bus stop late at night and proactively checks the next bus arrival. If it’s too far off, it suggests calling a ride instead. Welcome to the world of ContextAgent — a proactive, context-aware Large Language Model (LLM) agent designed to act before you’re forced to ask. While most LLM agents still require explicit prompts and work in tightly scoped environments like desktops, ContextAgent leverages open-world sensory inputs (from devices like smart glasses, earphones, and smartphones) to understand user context and offer unobtrusive help. ...