
Nathan Du Vergier
Moss — a consumer‑grade, multi‑agent memory system that turn
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About Nathan Du Vergier
Moss is a multi‑agent memory system for AI — not another chatbot and not a thin “memory layer.” Coordinated agents capture every exchange, structure it into facts/preferences/decisions, index it across graph + vector stores, and retrieve the right pieces on demand with verification. The result is true continuity across sessions and tools: Moss recalls what you’ve already decided, knows your preferences, and cites where it learned them. We’ve stress‑tested recall on 7M+ tokens from months of ChatGPT/Claude/Gemini history. Import your logs, ask a question, and get context‑aware answers without the “didn’t we already cover this?” loop. Built for Casual users who are sick of AI feeling "dumbed down", or founders, researchers, and heavy AI users who need persistent remembering, not another tab. Import your history — see what your current AI forgot.
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I added 7M tokens of my own conversation history with Gemini, ChatGPT, and Claude. I'm able to now discuss just about everything, and Moss remembers the topic, the outcome, preferences. it's magic.