RAG memory for AI assistants

A long-term memory layer for an AI coding assistant: it saves and indexes every conversation, re-injects the relevant context in future sessions and lets you query what was learned about the project on demand.

On close, it summarizes the conversation into a short reusable note, and every answer shows how much context was saved — so the optimization is measurable, not an act of faith.