01. Cognitive Architecture
Aether doesn't plug into your apps like another integration. It sits above them — a reasoning layer that translates what you say into precise actions across your entire operating system. When you say "prepare for tomorrow's meeting," it knows which calendar to check, which documents to pull, and which format you prefer.
Three layers make this work:
[L1] Intent Parsing— Understands what you mean, not just what you typed. Converts natural language into structured actions across any app or API on your machine.[L2] Context Synthesis— Cross-references your request against everything it knows about you — your history, your preferences, your active projects — to deliver a result tailored specifically to how you work.[L3] Environment Execution— Drives your applications behind the scenes. Opens browsers, moves files, writes documents, sends messages — all invisible to you. You see only the finished output.
02. Memory That Compounds
What makes Aether fundamentally different from chatbots and assistants is its memory. Every preference, every correction, every project you've worked on is embedded into a private vector space that lives on your machine. This isn't conversation history — it's a persistent, evolving model of how you think and work.
This is what enables predictive execution. When you say "prepare for the synthesis meeting," Aether already knows you need the latest Figma file, the most recent Google Doc edits, and a summary of yesterday's Slack thread — compiled into a single markdown brief. You didn't configure that. It learned it.
03. Your Data Stays With You
Autonomy this deep requires absolute trust — so Aether earns it structurally. All of your contextual data lives permanently on your machine, encrypted at rest. When heavy computation needs cloud resources, it uses secure, ephemeral nodes that retain nothing after the task completes.
We believe your data should power your personal AI — not train someone else's model. Aether is built on that conviction from the ground up.