mem2ai

I’m building mem2ai to solve the “context tax” of modern AI use: every time you switch between ChatGPT, Claude, Gemini, or Perplexity, you end up re-explaining who you are, what you’re working on, and how you want responses formatted, wasting time and still getting inconsistent outputs. mem2ai acts as a personal memory layer that captures durable context (preferences, tone, projects, priorities) and makes it portable across assistants, so your prompts start “already warmed up” instead of starting from zero. Since installing it, I’ve seen noticeably better prompt personalization because the assistant can reliably reference the same structured context every time, less repetition, fewer corrections, and faster alignment to my style and intent. Over time, my process has evolved from manually copy-pasting big “context blobs” into chats, to curating a clean, structured memory system with tight categories and lightweight updates, so personalization improves continuously without adding friction.