Nguyen Viet Hoang

For the past few months, I kept hitting the same wall with Claude: every conversation started from zero. If I wanted it to reference something I'd read or a decision I'd made weeks ago, I had to copy-paste it in myself or worse, it would just guess and get it wrong.

So I built Neurix MCP, a small server that connects my personal knowledge graph (notes, research, past decisions) directly to Claude. When I ask something related to my own context, Claude calls a tool to search it semantic search across English and Vietnamese, no copy-pasting. Writes go through a preview confirm step, so nothing gets saved without me approving it first.

It's solo-built, I use it daily, and it's genuinely changed how I work with Claude answers feel grounded in what I actually know instead of what the model assumes.

Curious how others here are thinking about this problem: are you managing personal/AI context manually, or have you tried something similar (RAG setups, other MCP servers, etc.)? What's worked, what hasn't?

For the past few months I kept hitting the same wall with Claude: every conversation started from zero. If I wanted it to reference something I'd read or a decision I'd made weeks ago, I had to copy-paste it in myself or worse, it would just guess and get it wrong.

So I built Neurix MCP, a small server that connects my personal knowledge graph (notes, research, past decisions) directly to Claude. When I ask something related to my own context, Claude calls a tool to search it semantic search across English and Vietnamese, no copy-pasting. Writes go through a preview confirm step, so nothing gets saved without me approving it first.

I built Neurix to solve my own problem knowledge scattered everywhere (tabs, notes, docs, chats) with no way to connect the dots or actually ask questions across it all.

The core flow:

Highlight any text on the web right-click Neurix extracts a summary + keywords automatically

Those fragments get woven into a personal knowledge graph