Code is more than just syntax; it's the result of a thought process. Engram remembers the "Why" behind your code by capturing prompts, intents, and AI interactions.
When you use an AI assistant to generate code, most editors discard the prompt once the code is pasted. Engram captures it. We associate your natural language intent ("Build a React button with a loading state") directly with the resulting code block, ensuring that future searches for "loading button" find this exact implementation.
We don't just index code; we index ideas. By embedding your prompts alongside the code, we create a dual-layer index. This allows you to search by concept rather than implementation details, bridging the gap between what you thought and what you typed.
Context spans multiple turns. Engram links related snippets back to their original conversation or task. If you update a function five times in a row, we know it's part of the same "refactoring" session and can provide that entire history as context for your next move.