Building a Context-Aware AI Assistant

What makes Goated different from every other AI assistant? Context. Real, persistent, working context. Here's how we built it.

The Problem with Context Windows

Every AI model has a fixed context window. Once it fills up, older information falls out. This is fine for chatbots — terrible for assistants that need to remember your codebase, your project history, and your preferences.

Our Approach: Hierarchical Memory

Instead of a flat context, Goated uses a hierarchical memory system. Short-term memory handles the current conversation. Medium-term stores recent project context. Long-term retains your preferences, decisions, and patterns across sessions.

When you ask a question, Goated automatically retrieves relevant context from the right level — no manual prompting required.

What This Means for You

No more repeating yourself. No more "as we discussed earlier." Goated remembers what matters, forgets what doesn't, and gets better the longer you use it.

It's not magic. It's just good engineering.