note.md

Hey Product Hunt 👋 — 我们又来了。
自上次发布以来，我一直听到的反馈是：“我的笔记被困在自己的小世界里。”所以这次更新就是专门解决这个问题的。
note.md 本身就已经把所有内容以纯文本 Markdown 形式存储在真实文件夹里。现在我们进一步重构了 vault 的层级结构，使其整洁到可以直接交给 AI。通过 Filesystem connector 把 Claude 指向它，你的整个研究 vault（笔记、来源、引用）就变成了它真正能读懂的“记忆”。不是原始的聊天记录。而是有依据、有来源的记忆，有凭有据。
因为它只是磁盘上的文件，所以这招不限于 Claude。任何能读取本地文件系统的 AI 都能用。你的第二大脑仍然属于你，采用开放格式，现在你的 AI 也能读懂它。
想知道你会如何把它接入自己的设置 🙏

The local-first angle is what makes this interesting to me — most "AI memory" tools quietly ship your notes to someone's cloud. Quick question: is the LLM itself running locally too, or local storage + a cloud model? That distinction is the whole ballgame for anyone with notes they can't send off-device.

The interesting tension here is that "local LLM memory" means very different things depending on how retrieval actually works. Are you chunking and embedding the markdown files so the model can do semantic search across them, or is it more like context stuffing where relevant notes get injected into the prompt window at query time? That distinction matters a lot for how well it handles a large, messy note library versus a small tidy one. Also curious whether note.md watches files for changes and updates the index automatically, or whether syncing is a manual step.

Does it support importing an existing Zotero library, or is it starting fresh?

What separates/elevates this above using obsidian with extensions?

Memory become the center of true knowledge management, this is a bold move to build around it especially regarding data privacy. Just downloaded!